=======================================================   RESTART [11-18 19:26:29]   =======================================================
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
wandb: Using wandb-core as the SDK backend. Please refer to https://wandb.me/wandb-core for more information.
wandb: Currently logged in as: kaiqiu. Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.18.3
wandb: Run data is saved locally in /home/user/VAR/wandb/run-20241118_032752-zpeto6ee
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run silver-terrain-414
wandb:  View project at https://wandb.ai/kaiqiu/VAR
wandb:  View run at https://wandb.ai/kaiqiu/VAR/runs/zpeto6ee
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x24, 24x1088)
  triton_mm_7 0.0252 ms 100.0%
  triton_mm_12 0.0262 ms 96.1%
  triton_mm_6 0.0263 ms 95.9%
  triton_mm_8 0.0274 ms 91.9%
  triton_mm_9 0.0276 ms 91.5%
  triton_mm_11 0.0276 ms 91.5%
  triton_mm_4 0.0278 ms 90.7%
  triton_mm_2 0.0281 ms 89.9%
  triton_mm_3 0.0291 ms 86.6%
  triton_mm_15 0.0291 ms 86.6%
SingleProcess AUTOTUNE benchmarking takes 2.1851 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1088, 1088x2176)
  triton_mm_1606 0.0146 ms 100.0%
  triton_mm_1602 0.0146 ms 99.8%
  triton_mm_1610 0.0157 ms 92.7%
  triton_mm_1614 0.0168 ms 87.0%
  mm 0.0174 ms 83.8%
  triton_mm_1601 0.0180 ms 81.3%
  triton_mm_1600 0.0182 ms 80.0%
  triton_mm_1605 0.0186 ms 78.5%
  triton_mm_1599 0.0186 ms 78.3%
  triton_mm_1609 0.0197 ms 73.9%
SingleProcess AUTOTUNE benchmarking takes 2.1630 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x8192, 6864x1088, 1088x8192)
  bias_addmm 0.5511 ms 100.0%
  triton_mm_1632 0.5513 ms 100.0%
  triton_mm_1631 0.5547 ms 99.4%
  triton_mm_1633 0.6246 ms 88.2%
  triton_mm_1626 0.6513 ms 84.6%
  triton_mm_1628 0.6828 ms 80.7%
  addmm 0.6985 ms 78.9%
  triton_mm_1624 0.7063 ms 78.0%
  triton_mm_1629 0.7724 ms 71.4%
  triton_mm_1625 0.7793 ms 70.7%
SingleProcess AUTOTUNE benchmarking takes 2.8315 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(8192x6864, 6864x1088)
  mm 0.5247 ms 100.0%
  triton_mm_1669 0.5513 ms 95.2%
  triton_mm_1670 0.5723 ms 91.7%
  triton_mm_1671 0.5973 ms 87.8%
  triton_mm_1664 0.6650 ms 78.9%
  triton_mm_1666 0.6794 ms 77.2%
  triton_mm_1662 0.6804 ms 77.1%
  triton_mm_1665 0.7247 ms 72.4%
  triton_mm_1667 0.7268 ms 72.2%
  triton_mm_1663 0.7375 ms 71.1%
SingleProcess AUTOTUNE benchmarking takes 2.7053 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(2176x24, 24x1088)
  triton_mm_1700 0.0120 ms 100.0%
  triton_mm_1694 0.0120 ms 99.7%
  triton_mm_1701 0.0124 ms 96.9%
  triton_mm_1699 0.0124 ms 96.6%
  triton_mm_1704 0.0126 ms 94.7%
  triton_mm_1689 0.0132 ms 91.0%
  triton_mm_1705 0.0135 ms 88.8%
  triton_mm_1698 0.0135 ms 88.4%
  triton_mm_1696 0.0137 ms 87.6%
  triton_mm_1702 0.0137 ms 87.2%
SingleProcess AUTOTUNE benchmarking takes 2.2054 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2176, 2176x1088)
  triton_mm_1676 0.0175 ms 100.0%
  triton_mm_1680 0.0192 ms 91.4%
  mm 0.0205 ms 85.5%
  triton_mm_1684 0.0239 ms 73.5%
  triton_mm_1688 0.0242 ms 72.4%
  triton_mm_1675 0.0248 ms 70.7%
  triton_mm_1674 0.0262 ms 66.9%
  triton_mm_1679 0.0280 ms 62.7%
  triton_mm_1673 0.0283 ms 62.1%
  triton_mm_1683 0.0291 ms 60.4%
SingleProcess AUTOTUNE benchmarking takes 2.2146 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x8192, 8192x1088)
  mm 0.5361 ms 100.0%
  triton_mm_1650 0.5670 ms 94.5%
  triton_mm_1651 0.5800 ms 92.4%
  triton_mm_1652 0.5925 ms 90.5%
  triton_mm_1645 0.6616 ms 81.0%
  triton_mm_1647 0.6656 ms 80.5%
  triton_mm_1643 0.6696 ms 80.1%
  triton_mm_1646 0.6966 ms 76.9%
  triton_mm_1644 0.7233 ms 74.1%
  triton_mm_1648 0.7342 ms 73.0%
SingleProcess AUTOTUNE benchmarking takes 2.6942 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x24, 24x1088)
  triton_mm_7 0.0253 ms 100.0%
  triton_mm_6 0.0264 ms 95.6%
  triton_mm_4 0.0266 ms 95.1%
  triton_mm_11 0.0267 ms 94.8%
  triton_mm_8 0.0275 ms 91.9%
  triton_mm_12 0.0275 ms 91.9%
  triton_mm_9 0.0278 ms 91.0%
  triton_mm_13 0.0285 ms 88.7%
  triton_mm_10 0.0288 ms 87.8%
  triton_mm_15 0.0290 ms 87.3%
SingleProcess AUTOTUNE benchmarking takes 2.1799 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x8192, 6864x1088, 1088x8192)
  triton_mm_1632 0.5552 ms 100.0%
  triton_mm_1631 0.5570 ms 99.7%
  triton_mm_1633 0.6263 ms 88.7%
  bias_addmm 0.6484 ms 85.6%
  triton_mm_1626 0.6598 ms 84.2%
  addmm 0.6987 ms 79.5%
  triton_mm_1628 0.6990 ms 79.4%
  triton_mm_1624 0.7124 ms 77.9%
  triton_mm_1629 0.7770 ms 71.5%
  triton_mm_1625 0.7854 ms 70.7%
SingleProcess AUTOTUNE benchmarking takes 2.8678 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(8192x6864, 6864x1088)
  mm 0.5300 ms 100.0%
  triton_mm_1669 0.5533 ms 95.8%
  triton_mm_1670 0.5740 ms 92.3%
  triton_mm_1671 0.5976 ms 88.7%
  triton_mm_1664 0.6649 ms 79.7%
  triton_mm_1666 0.6738 ms 78.7%
  triton_mm_1662 0.6772 ms 78.3%
  triton_mm_1665 0.7232 ms 73.3%
  triton_mm_1667 0.7242 ms 73.2%
  triton_mm_1663 0.7345 ms 72.2%
SingleProcess AUTOTUNE benchmarking takes 2.6950 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(2176x24, 24x1088)
  triton_mm_1695 0.0121 ms 100.0%
  triton_mm_1697 0.0121 ms 100.0%
  triton_mm_1701 0.0124 ms 97.2%
  triton_mm_1704 0.0127 ms 95.5%
  triton_mm_1694 0.0132 ms 91.5%
  triton_mm_1689 0.0133 ms 90.6%
  triton_mm_1705 0.0136 ms 88.7%
  triton_mm_1698 0.0138 ms 87.5%
  triton_mm_1702 0.0139 ms 87.0%
  triton_mm_1700 0.0139 ms 86.9%
SingleProcess AUTOTUNE benchmarking takes 2.2189 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2176, 2176x1088)
  triton_mm_1680 0.0174 ms 100.0%
  mm 0.0180 ms 96.6%
  triton_mm_1676 0.0180 ms 96.3%
  triton_mm_1684 0.0219 ms 79.3%
  triton_mm_1675 0.0232 ms 74.9%
  triton_mm_1688 0.0244 ms 71.2%
  triton_mm_1674 0.0261 ms 66.5%
  triton_mm_1683 0.0265 ms 65.6%
  triton_mm_1679 0.0275 ms 63.1%
  triton_mm_1673 0.0284 ms 61.1%
SingleProcess AUTOTUNE benchmarking takes 2.2074 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x8192, 8192x1088)
  mm 0.5419 ms 100.0%
  triton_mm_1650 0.5661 ms 95.7%
  triton_mm_1651 0.5781 ms 93.7%
  triton_mm_1652 0.5925 ms 91.5%
  triton_mm_1645 0.6601 ms 82.1%
  triton_mm_1647 0.6638 ms 81.6%
  triton_mm_1643 0.6678 ms 81.1%
  triton_mm_1646 0.6979 ms 77.6%
  triton_mm_1644 0.7217 ms 75.1%
  triton_mm_1648 0.7321 ms 74.0%
SingleProcess AUTOTUNE benchmarking takes 2.6955 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(24x1088, 1088x2176)
  triton_mm_1606 0.0137 ms 100.0%
  triton_mm_1602 0.0142 ms 96.4%
  triton_mm_1614 0.0158 ms 86.8%
  triton_mm_1610 0.0158 ms 86.7%
  mm 0.0166 ms 82.7%
  triton_mm_1601 0.0166 ms 82.7%
  triton_mm_1605 0.0182 ms 75.5%
  triton_mm_1600 0.0182 ms 75.4%
  triton_mm_1599 0.0186 ms 73.8%
  triton_mm_1612 0.0194 ms 70.7%
SingleProcess AUTOTUNE benchmarking takes 2.1900 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x8192, 6864x1088, 1088x8192)
  bias_addmm 0.5551 ms 100.0%
  triton_mm_1631 0.5559 ms 99.8%
  triton_mm_1632 0.5567 ms 99.7%
  triton_mm_1633 0.6298 ms 88.1%
  triton_mm_1626 0.6570 ms 84.5%
  triton_mm_1628 0.6868 ms 80.8%
  addmm 0.6902 ms 80.4%
  triton_mm_1624 0.7044 ms 78.8%
  triton_mm_1629 0.7785 ms 71.3%
  triton_mm_1625 0.7852 ms 70.7%
SingleProcess AUTOTUNE benchmarking takes 2.8448 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(2176x24, 24x1088)
  triton_mm_1694 0.0109 ms 100.0%
  triton_mm_1695 0.0113 ms 96.3%
  triton_mm_1698 0.0115 ms 94.7%
  triton_mm_1700 0.0115 ms 94.7%
  triton_mm_1696 0.0123 ms 88.8%
  triton_mm_1704 0.0124 ms 88.1%
  triton_mm_1703 0.0124 ms 87.9%
  triton_mm_1701 0.0125 ms 87.0%
  triton_mm_1697 0.0125 ms 86.7%
  triton_mm_1699 0.0125 ms 86.7%
SingleProcess AUTOTUNE benchmarking takes 2.1830 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2176, 2176x1088)
  triton_mm_1680 0.0161 ms 100.0%
  triton_mm_1676 0.0164 ms 97.9%
  mm 0.0170 ms 94.5%
  triton_mm_1684 0.0210 ms 76.6%
  triton_mm_1688 0.0223 ms 72.3%
  triton_mm_1675 0.0230 ms 70.1%
  triton_mm_1674 0.0236 ms 68.2%
  triton_mm_1679 0.0252 ms 64.0%
  triton_mm_1673 0.0263 ms 61.3%
  triton_mm_1683 0.0265 ms 60.6%
SingleProcess AUTOTUNE benchmarking takes 2.1967 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x24, 24x1088)
  triton_mm_7 0.0254 ms 100.0%
  triton_mm_8 0.0265 ms 95.8%
  triton_mm_12 0.0265 ms 95.8%
  triton_mm_4 0.0266 ms 95.4%
  triton_mm_6 0.0276 ms 91.9%
  triton_mm_11 0.0277 ms 91.5%
  triton_mm_9 0.0278 ms 91.4%
  triton_mm_2 0.0281 ms 90.3%
  triton_mm_5 0.0281 ms 90.2%
  triton_mm_16 0.0285 ms 89.1%
SingleProcess AUTOTUNE benchmarking takes 2.1885 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1088, 1088x2176)
  triton_mm_1602 0.0134 ms 100.0%
  triton_mm_1606 0.0140 ms 95.2%
  triton_mm_1614 0.0161 ms 83.3%
  triton_mm_1610 0.0164 ms 81.8%
  triton_mm_1605 0.0176 ms 76.1%
  triton_mm_1599 0.0179 ms 74.9%
  triton_mm_1601 0.0180 ms 74.1%
  mm 0.0181 ms 73.9%
  triton_mm_1600 0.0187 ms 71.5%
  triton_mm_1612 0.0198 ms 67.5%
SingleProcess AUTOTUNE benchmarking takes 2.1969 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x8192, 6864x1088, 1088x8192)
  bias_addmm 0.5537 ms 100.0%
  triton_mm_1631 0.5549 ms 99.8%
  triton_mm_1632 0.5559 ms 99.6%
  triton_mm_1633 0.6296 ms 87.9%
  triton_mm_1626 0.6552 ms 84.5%
  triton_mm_1628 0.6916 ms 80.1%
  addmm 0.6937 ms 79.8%
  triton_mm_1624 0.7043 ms 78.6%
  triton_mm_1629 0.7765 ms 71.3%
  triton_mm_1625 0.7768 ms 71.3%
SingleProcess AUTOTUNE benchmarking takes 2.8419 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(8192x6864, 6864x1088)
  mm 0.5263 ms 100.0%
  triton_mm_1669 0.5530 ms 95.2%
  triton_mm_1670 0.5715 ms 92.1%
  triton_mm_1671 0.5945 ms 88.5%
  triton_mm_1664 0.6649 ms 79.2%
  triton_mm_1662 0.6701 ms 78.5%
  triton_mm_1666 0.6808 ms 77.3%
  triton_mm_1665 0.7215 ms 72.9%
  triton_mm_1667 0.7231 ms 72.8%
  triton_mm_1663 0.7354 ms 71.6%
SingleProcess AUTOTUNE benchmarking takes 2.6953 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x2176, 2176x1088)
  triton_mm_1680 0.0177 ms 100.0%
  mm 0.0182 ms 97.4%
  triton_mm_1676 0.0183 ms 96.8%
  triton_mm_1684 0.0225 ms 78.6%
  triton_mm_1675 0.0236 ms 74.8%
  triton_mm_1688 0.0237 ms 74.7%
  triton_mm_1674 0.0260 ms 67.9%
  triton_mm_1673 0.0270 ms 65.6%
  triton_mm_1679 0.0278 ms 63.6%
  triton_mm_1683 0.0283 ms 62.6%
SingleProcess AUTOTUNE benchmarking takes 2.2234 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(6864x8192, 8192x1088)
  mm 0.5363 ms 100.0%
  triton_mm_1650 0.5680 ms 94.4%
  triton_mm_1651 0.5766 ms 93.0%
  triton_mm_1652 0.5923 ms 90.6%
  triton_mm_1645 0.6631 ms 80.9%
  triton_mm_1643 0.6631 ms 80.9%
  triton_mm_1647 0.6682 ms 80.3%
  triton_mm_1646 0.7022 ms 76.4%
  triton_mm_1644 0.7232 ms 74.2%
  triton_mm_1648 0.7293 ms 73.5%
SingleProcess AUTOTUNE benchmarking takes 2.7051 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]AUTOTUNE mm(10296x1088, 1088x1088)
  triton_mm_4954 0.2216 ms 100.0%
  triton_mm_4951 0.2545 ms 87.1%
  triton_mm_4947 0.2660 ms 83.3%
  mm 0.2672 ms 82.9%
  triton_mm_4952 0.2762 ms 80.2%
  triton_mm_4955 0.2871 ms 77.2%
  triton_mm_4948 0.2928 ms 75.7%
  triton_mm_4949 0.3079 ms 72.0%
  triton_mm_4944 0.3405 ms 65.1%
  triton_mm_4945 0.3535 ms 62.7%
SingleProcess AUTOTUNE benchmarking takes 2.0857 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x4352, 4352x1088)
  triton_mm_5009 0.8257 ms 100.0%
  mm 0.8680 ms 95.1%
  triton_mm_5010 0.9860 ms 83.7%
  triton_mm_5006 1.0019 ms 82.4%
  triton_mm_5002 1.0346 ms 79.8%
  triton_mm_5007 1.0532 ms 78.4%
  triton_mm_5003 1.1059 ms 74.7%
  triton_mm_5004 1.1140 ms 74.1%
  triton_mm_4999 1.3329 ms 62.0%
  triton_mm_5000 1.3490 ms 61.2%
SingleProcess AUTOTUNE benchmarking takes 2.2271 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x2176)
  triton_mm_6448 0.0207 ms 100.0%
  mm 0.0218 ms 95.0%
  triton_mm_6447 0.0219 ms 94.9%
  triton_mm_6452 0.0243 ms 85.4%
  triton_mm_6446 0.0248 ms 83.5%
  triton_mm_6459 0.0258 ms 80.4%
  triton_mm_6456 0.0261 ms 79.5%
  triton_mm_6458 0.0277 ms 74.9%
  triton_mm_6455 0.0284 ms 73.1%
  triton_mm_6454 0.0310 ms 66.9%
SingleProcess AUTOTUNE benchmarking takes 1.6953 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x8192, 10296x1088, 1088x8192)
  triton_mm_6516 1.5292 ms 100.0%
  bias_addmm 1.5382 ms 99.4%
  triton_mm_6513 1.8574 ms 82.3%
  triton_mm_6509 1.8901 ms 80.9%
  addmm 1.9083 ms 80.1%
  triton_mm_6517 1.9831 ms 77.1%
  triton_mm_6514 2.0699 ms 73.9%
  triton_mm_6510 2.0740 ms 73.7%
  triton_mm_6511 2.1321 ms 71.7%
  triton_mm_6506 2.5096 ms 60.9%
SingleProcess AUTOTUNE benchmarking takes 2.4852 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   2%|2         | 1/44 [01:18<56:36, 79.00s/it]AUTOTUNE mm(10296x1088, 1088x4352)
  triton_mm_4990 0.8419 ms 100.0%
  mm 0.9404 ms 89.5%
  triton_mm_4987 1.0071 ms 83.6%
  triton_mm_4983 1.0215 ms 82.4%
  triton_mm_4991 1.0882 ms 77.4%
  triton_mm_4984 1.1123 ms 75.7%
  triton_mm_4988 1.1168 ms 75.4%
  triton_mm_4985 1.1516 ms 73.1%
  triton_mm_4980 1.3542 ms 62.2%
  triton_mm_4981 1.4256 ms 59.1%
SingleProcess AUTOTUNE benchmarking takes 2.2313 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x4352)
  mm 0.8447 ms 100.0%
  triton_mm_5176 0.8548 ms 98.8%
  triton_mm_5173 1.0135 ms 83.3%
  triton_mm_5169 1.0334 ms 81.7%
  triton_mm_5177 1.0872 ms 77.7%
  triton_mm_5174 1.1262 ms 75.0%
  triton_mm_5170 1.1382 ms 74.2%
  triton_mm_5171 1.1662 ms 72.4%
  triton_mm_5166 1.3689 ms 61.7%
  triton_mm_5167 1.4254 ms 59.3%
SingleProcess AUTOTUNE benchmarking takes 2.1436 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x4352)
  mm 0.8510 ms 100.0%
  triton_mm_5269 0.8516 ms 99.9%
  triton_mm_5266 1.0295 ms 82.7%
  triton_mm_5262 1.0334 ms 82.3%
  triton_mm_5270 1.0887 ms 78.2%
  triton_mm_5267 1.1273 ms 75.5%
  triton_mm_5263 1.1381 ms 74.8%
  triton_mm_5264 1.1661 ms 73.0%
  triton_mm_5259 1.3694 ms 62.1%
  triton_mm_5268 1.4296 ms 59.5%
SingleProcess AUTOTUNE benchmarking takes 2.1370 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x4352)
  triton_mm_5827 0.8423 ms 100.0%
  mm 0.8499 ms 99.1%
  triton_mm_5824 1.0133 ms 83.1%
  triton_mm_5820 1.0471 ms 80.4%
  triton_mm_5828 1.0894 ms 77.3%
  triton_mm_5825 1.1280 ms 74.7%
  triton_mm_5821 1.1381 ms 74.0%
  triton_mm_5822 1.1638 ms 72.4%
  triton_mm_5817 1.3690 ms 61.5%
  triton_mm_5826 1.4318 ms 58.8%
SingleProcess AUTOTUNE benchmarking takes 2.1365 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x4352)
  triton_mm_5920 0.8448 ms 100.0%
  mm 0.8499 ms 99.4%
  triton_mm_5917 1.0132 ms 83.4%
  triton_mm_5913 1.0342 ms 81.7%
  triton_mm_5921 1.0821 ms 78.1%
  triton_mm_5918 1.1262 ms 75.0%
  triton_mm_5914 1.1380 ms 74.2%
  triton_mm_5915 1.1647 ms 72.5%
  triton_mm_5910 1.3686 ms 61.7%
  triton_mm_5919 1.4327 ms 59.0%
SingleProcess AUTOTUNE benchmarking takes 2.1369 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x6528)
  mm 0.0367 ms 100.0%
  triton_mm_4899 0.0371 ms 99.1%
  triton_mm_4892 0.0373 ms 98.5%
  triton_mm_4896 0.0380 ms 96.6%
  triton_mm_4898 0.0381 ms 96.3%
  triton_mm_4895 0.0383 ms 96.0%
  triton_mm_4888 0.0388 ms 94.6%
  triton_mm_4887 0.0400 ms 91.8%
  triton_mm_4894 0.0412 ms 89.1%
  triton_mm_4886 0.0434 ms 84.7%
SingleProcess AUTOTUNE benchmarking takes 1.6969 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10260x24, 24x1088)
  triton_mm_4908 0.0348 ms 100.0%
  triton_mm_4909 0.0348 ms 100.0%
  triton_mm_4914 0.0350 ms 99.5%
  triton_mm_4911 0.0353 ms 98.6%
  triton_mm_4910 0.0359 ms 97.0%
  triton_mm_4913 0.0361 ms 96.3%
  triton_mm_4906 0.0368 ms 94.6%
  triton_mm_4907 0.0371 ms 93.8%
  triton_mm_4918 0.0380 ms 91.4%
  triton_mm_4917 0.0383 ms 90.9%
SingleProcess AUTOTUNE benchmarking takes 2.1606 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3264, 10296x1088, 1088x3264)
  triton_mm_4935 0.6441 ms 100.0%
  bias_addmm 0.6470 ms 99.5%
  triton_mm_4932 0.7584 ms 84.9%
  triton_mm_4928 0.7679 ms 83.9%
  addmm 0.8081 ms 79.7%
  triton_mm_4936 0.8383 ms 76.8%
  triton_mm_4933 0.8417 ms 76.5%
  triton_mm_4929 0.8481 ms 75.9%
  triton_mm_4930 0.8836 ms 72.9%
  triton_mm_4925 1.0221 ms 63.0%
SingleProcess AUTOTUNE benchmarking takes 2.3148 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x1088)
  triton_mm_4954 0.2268 ms 100.0%
  mm 0.2370 ms 95.7%
  triton_mm_4951 0.2590 ms 87.6%
  triton_mm_4947 0.2716 ms 83.5%
  triton_mm_4952 0.2829 ms 80.2%
  triton_mm_4955 0.2904 ms 78.1%
  triton_mm_4948 0.2992 ms 75.8%
  triton_mm_4949 0.3102 ms 73.1%
  triton_mm_4944 0.3439 ms 66.0%
  triton_mm_4945 0.3568 ms 63.6%
SingleProcess AUTOTUNE benchmarking takes 2.0918 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x4352, 4352x1088)
  triton_mm_5009 0.8418 ms 100.0%
  mm 0.8967 ms 93.9%
  triton_mm_5010 1.0069 ms 83.6%
  triton_mm_5006 1.0210 ms 82.4%
  triton_mm_5002 1.0627 ms 79.2%
  triton_mm_5007 1.0753 ms 78.3%
  triton_mm_5003 1.1302 ms 74.5%
  triton_mm_5004 1.1372 ms 74.0%
  triton_mm_4999 1.3585 ms 62.0%
  triton_mm_5000 1.3916 ms 60.5%
SingleProcess AUTOTUNE benchmarking takes 2.2140 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x2176)
  triton_mm_6448 0.0204 ms 100.0%
  triton_mm_6447 0.0205 ms 99.5%
  mm 0.0216 ms 94.6%
  triton_mm_6452 0.0239 ms 85.5%
  triton_mm_6446 0.0244 ms 83.6%
  triton_mm_6459 0.0245 ms 83.2%
  triton_mm_6456 0.0268 ms 76.3%
  triton_mm_6455 0.0281 ms 72.7%
  triton_mm_6458 0.0283 ms 72.2%
  triton_mm_6454 0.0307 ms 66.5%
SingleProcess AUTOTUNE benchmarking takes 1.6908 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x8192, 10296x1088, 1088x8192)
  triton_mm_6516 1.5630 ms 100.0%
  bias_addmm 1.5750 ms 99.2%
  triton_mm_6513 1.8869 ms 82.8%
  triton_mm_6509 1.9310 ms 80.9%
  addmm 1.9476 ms 80.3%
  triton_mm_6517 2.0284 ms 77.1%
  triton_mm_6514 2.1181 ms 73.8%
  triton_mm_6510 2.1195 ms 73.7%
  triton_mm_6511 2.2022 ms 71.0%
  triton_mm_6506 2.5603 ms 61.0%
SingleProcess AUTOTUNE benchmarking takes 2.4625 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   2%|2         | 1/44 [01:19<56:37, 79.01s/it]AUTOTUNE mm(36x1088, 1088x6528)
  mm 0.0374 ms 100.0%
  triton_mm_4892 0.0378 ms 99.0%
  triton_mm_4896 0.0378 ms 98.8%
  triton_mm_4899 0.0381 ms 98.0%
  triton_mm_4895 0.0391 ms 95.5%
  triton_mm_4898 0.0393 ms 95.1%
  triton_mm_4888 0.0400 ms 93.4%
  triton_mm_4887 0.0407 ms 91.8%
  triton_mm_4894 0.0414 ms 90.3%
  triton_mm_4886 0.0442 ms 84.6%
SingleProcess AUTOTUNE benchmarking takes 1.7212 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10260x24, 24x1088)
  triton_mm_4914 0.0349 ms 100.0%
  triton_mm_4909 0.0351 ms 99.5%
  triton_mm_4910 0.0352 ms 99.3%
  triton_mm_4911 0.0352 ms 99.2%
  triton_mm_4913 0.0354 ms 98.6%
  triton_mm_4908 0.0361 ms 96.7%
  triton_mm_4906 0.0373 ms 93.7%
  triton_mm_4917 0.0376 ms 92.9%
  triton_mm_4912 0.0378 ms 92.5%
  triton_mm_4918 0.0380 ms 91.8%
SingleProcess AUTOTUNE benchmarking takes 2.1833 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3264, 10296x1088, 1088x3264)
  triton_mm_4935 0.6325 ms 100.0%
  bias_addmm 0.6387 ms 99.0%
  triton_mm_4932 0.7418 ms 85.3%
  triton_mm_4928 0.7504 ms 84.3%
  addmm 0.7918 ms 79.9%
  triton_mm_4933 0.8260 ms 76.6%
  triton_mm_4936 0.8288 ms 76.3%
  triton_mm_4929 0.8338 ms 75.9%
  triton_mm_4930 0.8651 ms 73.1%
  triton_mm_4925 0.9946 ms 63.6%
SingleProcess AUTOTUNE benchmarking takes 2.3201 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x1088)
  triton_mm_4954 0.2222 ms 100.0%
  mm 0.2345 ms 94.8%
  triton_mm_4951 0.2560 ms 86.8%
  triton_mm_4947 0.2667 ms 83.3%
  triton_mm_4952 0.2777 ms 80.0%
  triton_mm_4955 0.2879 ms 77.2%
  triton_mm_4948 0.2926 ms 75.9%
  triton_mm_4949 0.3052 ms 72.8%
  triton_mm_4944 0.3410 ms 65.2%
  triton_mm_4945 0.3528 ms 63.0%
SingleProcess AUTOTUNE benchmarking takes 2.0874 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x4352, 4352x1088)
  triton_mm_5009 0.8265 ms 100.0%
  mm 0.8701 ms 95.0%
  triton_mm_5010 0.9867 ms 83.8%
  triton_mm_5006 1.0036 ms 82.3%
  triton_mm_5002 1.0396 ms 79.5%
  triton_mm_5007 1.0591 ms 78.0%
  triton_mm_5003 1.1130 ms 74.3%
  triton_mm_5004 1.1227 ms 73.6%
  triton_mm_4999 1.3360 ms 61.9%
  triton_mm_5000 1.3528 ms 61.1%
SingleProcess AUTOTUNE benchmarking takes 2.2239 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3264, 10296x1088, 1088x3264)
  triton_mm_6237 0.6337 ms 100.0%
  bias_addmm 0.6360 ms 99.6%
  triton_mm_6234 0.7458 ms 85.0%
  triton_mm_6230 0.7545 ms 84.0%
  addmm 0.7933 ms 79.9%
  triton_mm_6235 0.8324 ms 76.1%
  triton_mm_6238 0.8325 ms 76.1%
  triton_mm_6231 0.8396 ms 75.5%
  triton_mm_6232 0.8668 ms 73.1%
  triton_mm_6227 1.0035 ms 63.2%
SingleProcess AUTOTUNE benchmarking takes 2.2388 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x1088)
  triton_mm_6256 0.2231 ms 100.0%
  mm 0.2343 ms 95.2%
  triton_mm_6253 0.2569 ms 86.8%
  triton_mm_6249 0.2673 ms 83.4%
  triton_mm_6254 0.2795 ms 79.8%
  triton_mm_6257 0.2880 ms 77.5%
  triton_mm_6250 0.2943 ms 75.8%
  triton_mm_6251 0.3052 ms 73.1%
  triton_mm_6246 0.3418 ms 65.3%
  triton_mm_6247 0.3530 ms 63.2%
SingleProcess AUTOTUNE benchmarking takes 2.0116 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x6528)
  mm 0.0371 ms 100.0%
  triton_mm_6266 0.0372 ms 99.5%
  triton_mm_6270 0.0379 ms 97.8%
  triton_mm_6269 0.0381 ms 97.1%
  triton_mm_6273 0.0382 ms 97.1%
  triton_mm_6262 0.0390 ms 94.9%
  triton_mm_6272 0.0392 ms 94.5%
  triton_mm_6261 0.0405 ms 91.4%
  triton_mm_6268 0.0424 ms 87.5%
  triton_mm_6260 0.0442 ms 83.8%
SingleProcess AUTOTUNE benchmarking takes 1.6470 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x4352, 4352x1088)
  triton_mm_6311 0.8326 ms 100.0%
  mm 0.8662 ms 96.1%
  triton_mm_6312 0.9963 ms 83.6%
  triton_mm_6308 1.0095 ms 82.5%
  triton_mm_6304 1.0479 ms 79.5%
  triton_mm_6309 1.0607 ms 78.5%
  triton_mm_6305 1.1151 ms 74.7%
  triton_mm_6306 1.1326 ms 73.5%
  triton_mm_6301 1.3371 ms 62.3%
  triton_mm_6302 1.3642 ms 61.0%
SingleProcess AUTOTUNE benchmarking takes 2.1350 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x2176)
  triton_mm_6448 0.0206 ms 100.0%
  triton_mm_6447 0.0217 ms 95.0%
  mm 0.0220 ms 93.6%
  triton_mm_6452 0.0235 ms 87.7%
  triton_mm_6446 0.0246 ms 83.7%
  triton_mm_6459 0.0249 ms 82.8%
  triton_mm_6456 0.0260 ms 79.0%
  triton_mm_6458 0.0276 ms 74.6%
  triton_mm_6455 0.0290 ms 71.0%
  triton_mm_6454 0.0310 ms 66.4%
SingleProcess AUTOTUNE benchmarking takes 1.7055 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x8192, 10296x1088, 1088x8192)
  triton_mm_6516 1.5287 ms 100.0%
  bias_addmm 1.5510 ms 98.6%
  triton_mm_6513 1.8361 ms 83.3%
  triton_mm_6509 1.8818 ms 81.2%
  addmm 1.9121 ms 79.9%
  triton_mm_6517 2.0048 ms 76.2%
  triton_mm_6514 2.0706 ms 73.8%
  triton_mm_6510 2.0729 ms 73.7%
  triton_mm_6511 2.1500 ms 71.1%
  triton_mm_6506 2.5069 ms 61.0%
SingleProcess AUTOTUNE benchmarking takes 2.4681 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   2%|2         | 1/44 [01:19<56:37, 79.02s/it]AUTOTUNE mm(10296x1088, 1088x4352)
  triton_mm_4990 0.8434 ms 100.0%
  mm 0.9377 ms 89.9%
  triton_mm_4987 1.0074 ms 83.7%
  triton_mm_4983 1.0098 ms 83.5%
  triton_mm_4991 1.0771 ms 78.3%
  triton_mm_4988 1.0957 ms 77.0%
  triton_mm_4984 1.1278 ms 74.8%
  triton_mm_4985 1.1521 ms 73.2%
  triton_mm_4980 1.3570 ms 62.1%
  triton_mm_4981 1.4249 ms 59.2%
SingleProcess AUTOTUNE benchmarking takes 2.2499 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x4352)
  mm 0.8407 ms 100.0%
  triton_mm_5920 0.8423 ms 99.8%
  triton_mm_5917 1.0170 ms 82.7%
  triton_mm_5913 1.0485 ms 80.2%
  triton_mm_5921 1.0780 ms 78.0%
  triton_mm_5918 1.1294 ms 74.4%
  triton_mm_5914 1.1397 ms 73.8%
  triton_mm_5915 1.1671 ms 72.0%
  triton_mm_5910 1.3707 ms 61.3%
  triton_mm_5919 1.4314 ms 58.7%
SingleProcess AUTOTUNE benchmarking takes 2.1399 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x4352)
  triton_mm_6385 0.8424 ms 100.0%
  mm 0.8519 ms 98.9%
  triton_mm_6382 1.0137 ms 83.1%
  triton_mm_6378 1.0354 ms 81.4%
  triton_mm_6386 1.0812 ms 77.9%
  triton_mm_6383 1.1268 ms 74.8%
  triton_mm_6379 1.1531 ms 73.1%
  triton_mm_6380 1.1540 ms 73.0%
  triton_mm_6375 1.3708 ms 61.4%
  triton_mm_6384 1.4316 ms 58.8%
SingleProcess AUTOTUNE benchmarking takes 2.1429 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x6528)
  mm 0.0365 ms 100.0%
  triton_mm_4899 0.0373 ms 97.9%
  triton_mm_4892 0.0378 ms 96.5%
  triton_mm_4896 0.0380 ms 96.2%
  triton_mm_4895 0.0382 ms 95.6%
  triton_mm_4888 0.0400 ms 91.3%
  triton_mm_4898 0.0402 ms 90.7%
  triton_mm_4887 0.0407 ms 89.7%
  triton_mm_4894 0.0414 ms 88.1%
  triton_mm_4886 0.0442 ms 82.6%
SingleProcess AUTOTUNE benchmarking takes 1.7109 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10260x24, 24x1088)
  triton_mm_4909 0.0339 ms 100.0%
  triton_mm_4908 0.0350 ms 97.0%
  triton_mm_4911 0.0352 ms 96.3%
  triton_mm_4913 0.0354 ms 95.9%
  triton_mm_4910 0.0359 ms 94.5%
  triton_mm_4914 0.0362 ms 93.6%
  triton_mm_4906 0.0370 ms 91.6%
  triton_mm_4917 0.0377 ms 89.9%
  triton_mm_4907 0.0378 ms 89.7%
  triton_mm_4912 0.0380 ms 89.2%
SingleProcess AUTOTUNE benchmarking takes 2.1918 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3264, 10296x1088, 1088x3264)
  triton_mm_4935 0.6411 ms 100.0%
  bias_addmm 0.6459 ms 99.3%
  triton_mm_4932 0.7614 ms 84.2%
  triton_mm_4928 0.7692 ms 83.3%
  addmm 0.8057 ms 79.6%
  triton_mm_4936 0.8381 ms 76.5%
  triton_mm_4933 0.8514 ms 75.3%
  triton_mm_4929 0.8580 ms 74.7%
  triton_mm_4930 0.8812 ms 72.8%
  triton_mm_4925 1.0216 ms 62.8%
SingleProcess AUTOTUNE benchmarking takes 2.3324 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x1088)
  triton_mm_4954 0.2257 ms 100.0%
  mm 0.2385 ms 94.6%
  triton_mm_4951 0.2588 ms 87.2%
  triton_mm_4947 0.2700 ms 83.6%
  triton_mm_4952 0.2803 ms 80.5%
  triton_mm_4955 0.2906 ms 77.7%
  triton_mm_4948 0.2986 ms 75.6%
  triton_mm_4949 0.3085 ms 73.2%
  triton_mm_4944 0.3452 ms 65.4%
  triton_mm_4945 0.3558 ms 63.4%
SingleProcess AUTOTUNE benchmarking takes 2.0919 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x4352, 4352x1088)
  triton_mm_5009 0.8390 ms 100.0%
  mm 0.8869 ms 94.6%
  triton_mm_5010 1.0058 ms 83.4%
  triton_mm_5006 1.0197 ms 82.3%
  triton_mm_5002 1.0648 ms 78.8%
  triton_mm_5007 1.0849 ms 77.3%
  triton_mm_5003 1.1290 ms 74.3%
  triton_mm_5004 1.1385 ms 73.7%
  triton_mm_4999 1.3575 ms 61.8%
  triton_mm_5000 1.3908 ms 60.3%
SingleProcess AUTOTUNE benchmarking takes 2.2293 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x2176)
  triton_mm_6448 0.0205 ms 100.0%
  triton_mm_6447 0.0208 ms 98.8%
  mm 0.0224 ms 91.6%
  triton_mm_6452 0.0243 ms 84.7%
  triton_mm_6446 0.0249 ms 82.5%
  triton_mm_6459 0.0251 ms 81.9%
  triton_mm_6456 0.0272 ms 75.5%
  triton_mm_6458 0.0289 ms 71.0%
  triton_mm_6455 0.0295 ms 69.6%
  triton_mm_6454 0.0310 ms 66.2%
SingleProcess AUTOTUNE benchmarking takes 1.7034 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x8192, 10296x1088, 1088x8192)
  triton_mm_6516 1.5462 ms 100.0%
  bias_addmm 1.5707 ms 98.4%
  triton_mm_6513 1.8850 ms 82.0%
  triton_mm_6509 1.9276 ms 80.2%
  addmm 1.9478 ms 79.4%
  triton_mm_6517 2.0258 ms 76.3%
  triton_mm_6510 2.1203 ms 72.9%
  triton_mm_6514 2.1253 ms 72.8%
  triton_mm_6511 2.1618 ms 71.5%
  triton_mm_6506 2.5594 ms 60.4%
SingleProcess AUTOTUNE benchmarking takes 2.5180 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   2%|2         | 1/44 [01:19<56:42, 79.12s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   5%|4         | 2/44 [01:21<23:46, 33.96s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   5%|4         | 2/44 [01:21<23:46, 33.96s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   5%|4         | 2/44 [01:21<23:46, 33.97s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   5%|4         | 2/44 [01:21<23:48, 34.01s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   7%|6         | 3/44 [01:22<12:54, 18.89s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   7%|6         | 3/44 [01:22<12:54, 18.90s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   7%|6         | 3/44 [01:22<12:54, 18.90s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

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 57%|#####6    | 89/157 [00:06<00:03, 17.05it/s]
 58%|#####7    | 91/157 [00:06<00:03, 17.10it/s]
 59%|#####9    | 93/157 [00:06<00:03, 17.15it/s]
 61%|######    | 95/157 [00:06<00:03, 17.11it/s]
 62%|######1   | 97/157 [00:06<00:03, 17.07it/s]
 63%|######3   | 99/157 [00:06<00:03, 17.04it/s]
 64%|######4   | 101/157 [00:07<00:03, 17.00it/s]
 66%|######5   | 103/157 [00:07<00:03, 17.06it/s]
 67%|######6   | 105/157 [00:07<00:03, 17.09it/s]
 68%|######8   | 107/157 [00:07<00:02, 17.19it/s]
 69%|######9   | 109/157 [00:07<00:02, 17.28it/s]
 71%|#######   | 111/157 [00:07<00:02, 17.19it/s]
 72%|#######1  | 113/157 [00:07<00:02, 17.25it/s]
 73%|#######3  | 115/157 [00:07<00:02, 17.32it/s]
 75%|#######4  | 117/157 [00:07<00:02, 17.33it/s]
 76%|#######5  | 119/157 [00:08<00:02, 17.39it/s]
 77%|#######7  | 121/157 [00:08<00:02, 17.42it/s]
 78%|#######8  | 123/157 [00:08<00:01, 17.33it/s]
 80%|#######9  | 125/157 [00:08<00:01, 17.31it/s]
 81%|########  | 127/157 [00:08<00:01, 17.30it/s]
 82%|########2 | 129/157 [00:08<00:01, 17.41it/s]
 83%|########3 | 131/157 [00:08<00:01, 17.34it/s]
 85%|########4 | 133/157 [00:08<00:01, 14.60it/s]
 86%|########5 | 135/157 [00:09<00:01, 15.32it/s]
 87%|########7 | 137/157 [00:09<00:01, 15.95it/s]
 89%|########8 | 139/157 [00:09<00:01, 16.39it/s]
 90%|########9 | 141/157 [00:09<00:00, 16.73it/s]
 91%|#########1| 143/157 [00:09<00:00, 17.00it/s]
 92%|#########2| 145/157 [00:09<00:00, 17.18it/s]
 94%|#########3| 147/157 [00:09<00:00, 17.17it/s]
 95%|#########4| 149/157 [00:09<00:00, 17.17it/s]
 96%|#########6| 151/157 [00:10<00:00, 17.28it/s]
 97%|#########7| 153/157 [00:10<00:00, 17.26it/s]
 99%|#########8| 155/157 [00:10<00:00, 17.19it/s]
100%|##########| 157/157 [00:11<00:00,  6.32it/s]
100%|##########| 157/157 [00:11<00:00, 14.25it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:48, 16.10it/s]
  1%|          | 4/781 [00:00<00:47, 16.20it/s]
  1%|          | 6/781 [00:00<00:47, 16.26it/s]
  1%|1         | 8/781 [00:00<00:47, 16.29it/s]
  1%|1         | 10/781 [00:00<00:47, 16.35it/s]
  2%|1         | 12/781 [00:00<00:46, 16.40it/s]
  2%|1         | 14/781 [00:00<00:46, 16.37it/s]
  2%|2         | 16/781 [00:00<00:46, 16.38it/s]
  2%|2         | 18/781 [00:01<00:46, 16.37it/s]
  3%|2         | 20/781 [00:01<00:46, 16.37it/s]
  3%|2         | 22/781 [00:01<00:46, 16.40it/s]
  3%|3         | 24/781 [00:01<00:46, 16.38it/s]
  3%|3         | 26/781 [00:01<00:45, 16.42it/s]
  4%|3         | 28/781 [00:01<00:45, 16.46it/s]
  4%|3         | 30/781 [00:01<00:46, 16.28it/s]
  4%|4         | 32/781 [00:01<00:46, 16.25it/s]
  4%|4         | 34/781 [00:02<00:46, 16.16it/s]
  5%|4         | 36/781 [00:02<00:46, 16.19it/s]
  5%|4         | 38/781 [00:02<00:45, 16.29it/s]
  5%|5         | 40/781 [00:02<00:45, 16.36it/s]
  5%|5         | 42/781 [00:02<00:44, 16.44it/s]
  6%|5         | 44/781 [00:02<00:44, 16.49it/s]
  6%|5         | 46/781 [00:02<00:44, 16.53it/s]
  6%|6         | 48/781 [00:02<00:44, 16.53it/s]
  6%|6         | 50/781 [00:03<00:44, 16.49it/s]
  7%|6         | 52/781 [00:03<00:44, 16.51it/s]
  7%|6         | 54/781 [00:03<00:44, 16.51it/s]
  7%|7         | 56/781 [00:03<00:43, 16.53it/s]
  7%|7         | 58/781 [00:03<00:43, 16.52it/s]
  8%|7         | 60/781 [00:03<00:43, 16.54it/s]
  8%|7         | 62/781 [00:03<00:43, 16.54it/s]
  8%|8         | 64/781 [00:03<00:43, 16.53it/s]
  8%|8         | 66/781 [00:04<00:43, 16.53it/s]
  9%|8         | 68/781 [00:04<00:43, 16.49it/s]
  9%|8         | 70/781 [00:04<00:43, 16.49it/s]
  9%|9         | 72/781 [00:04<00:42, 16.50it/s]
  9%|9         | 74/781 [00:04<00:42, 16.53it/s]
 10%|9         | 76/781 [00:04<00:42, 16.53it/s]
 10%|9         | 78/781 [00:04<00:42, 16.53it/s]
 10%|#         | 80/781 [00:04<00:42, 16.52it/s]
 10%|#         | 82/781 [00:04<00:42, 16.42it/s]
 11%|#         | 84/781 [00:05<00:42, 16.35it/s]
 11%|#1        | 86/781 [00:05<00:42, 16.31it/s]
 11%|#1        | 88/781 [00:05<00:42, 16.30it/s]
 12%|#1        | 90/781 [00:05<00:42, 16.28it/s]
 12%|#1        | 92/781 [00:05<00:42, 16.20it/s]
 12%|#2        | 94/781 [00:05<00:43, 15.96it/s]
 12%|#2        | 96/781 [00:05<00:43, 15.81it/s]
 13%|#2        | 98/781 [00:05<00:43, 15.85it/s]
 13%|#2        | 100/781 [00:06<00:42, 15.88it/s]
 13%|#3        | 102/781 [00:06<00:42, 15.89it/s]
 13%|#3        | 104/781 [00:06<00:42, 16.01it/s]
 14%|#3        | 106/781 [00:06<00:42, 16.06it/s]
 14%|#3        | 108/781 [00:06<00:41, 16.19it/s]
 14%|#4        | 110/781 [00:06<00:41, 16.30it/s]
 14%|#4        | 112/781 [00:06<00:40, 16.35it/s]
 15%|#4        | 114/781 [00:06<00:40, 16.39it/s]
 15%|#4        | 116/781 [00:07<00:40, 16.30it/s]
 15%|#5        | 118/781 [00:07<00:40, 16.33it/s]
 15%|#5        | 120/781 [00:07<00:40, 16.35it/s]
 16%|#5        | 122/781 [00:07<00:40, 16.26it/s]
 16%|#5        | 124/781 [00:07<00:40, 16.19it/s]
 16%|#6        | 126/781 [00:07<00:40, 16.18it/s]
 16%|#6        | 128/781 [00:07<00:40, 16.23it/s]
 17%|#6        | 130/781 [00:07<00:40, 16.19it/s]
 17%|#6        | 132/781 [00:08<00:40, 16.13it/s]
 17%|#7        | 134/781 [00:08<00:40, 16.12it/s]
 17%|#7        | 136/781 [00:08<00:40, 16.12it/s]
 18%|#7        | 138/781 [00:08<00:39, 16.14it/s]
 18%|#7        | 140/781 [00:08<00:39, 16.23it/s]
 18%|#8        | 142/781 [00:08<00:39, 16.31it/s]
 18%|#8        | 144/781 [00:08<00:38, 16.35it/s]
 19%|#8        | 146/781 [00:08<00:38, 16.37it/s]
 19%|#8        | 148/781 [00:09<00:38, 16.39it/s]
 19%|#9        | 150/781 [00:09<00:38, 16.42it/s]
 19%|#9        | 152/781 [00:09<00:38, 16.42it/s]
 20%|#9        | 154/781 [00:09<00:38, 16.44it/s]
 20%|#9        | 156/781 [00:09<00:37, 16.48it/s]
 20%|##        | 158/781 [00:09<00:37, 16.50it/s]
 20%|##        | 160/781 [00:09<00:37, 16.51it/s]
 21%|##        | 162/781 [00:09<00:37, 16.43it/s]
 21%|##        | 164/781 [00:10<00:37, 16.36it/s]
 21%|##1       | 166/781 [00:10<00:37, 16.38it/s]
 22%|##1       | 168/781 [00:10<00:37, 16.42it/s]
 22%|##1       | 170/781 [00:10<00:37, 16.44it/s]
 22%|##2       | 172/781 [00:10<00:37, 16.35it/s]
 22%|##2       | 174/781 [00:10<00:37, 16.16it/s]
 23%|##2       | 176/781 [00:10<00:37, 16.28it/s]
 23%|##2       | 178/781 [00:10<00:36, 16.35it/s]
 23%|##3       | 180/781 [00:11<00:36, 16.41it/s]
 23%|##3       | 182/781 [00:11<00:36, 16.40it/s]
 24%|##3       | 184/781 [00:11<00:36, 16.45it/s]
 24%|##3       | 186/781 [00:11<00:36, 16.47it/s]
 24%|##4       | 188/781 [00:11<00:35, 16.48it/s]
 24%|##4       | 190/781 [00:11<00:35, 16.48it/s]
 25%|##4       | 192/781 [00:11<00:35, 16.51it/s]
 25%|##4       | 194/781 [00:11<00:35, 16.43it/s]
 25%|##5       | 196/781 [00:11<00:35, 16.39it/s]
 25%|##5       | 198/781 [00:12<00:35, 16.36it/s]
 26%|##5       | 200/781 [00:12<00:35, 16.29it/s]
 26%|##5       | 202/781 [00:12<00:35, 16.29it/s]
 26%|##6       | 204/781 [00:12<00:35, 16.37it/s]
 26%|##6       | 206/781 [00:12<00:35, 16.42it/s]
 27%|##6       | 208/781 [00:12<00:34, 16.49it/s]
 27%|##6       | 210/781 [00:12<00:34, 16.52it/s]
 27%|##7       | 212/781 [00:12<00:34, 16.54it/s]
 27%|##7       | 214/781 [00:13<00:34, 16.56it/s]
 28%|##7       | 216/781 [00:13<00:34, 16.57it/s]
 28%|##7       | 218/781 [00:13<00:33, 16.57it/s]
 28%|##8       | 220/781 [00:13<00:33, 16.58it/s]
 28%|##8       | 222/781 [00:13<00:33, 16.46it/s]
 29%|##8       | 224/781 [00:13<00:33, 16.42it/s]
 29%|##8       | 226/781 [00:13<00:33, 16.36it/s]
 29%|##9       | 228/781 [00:13<00:33, 16.42it/s]
 29%|##9       | 230/781 [00:14<00:33, 16.46it/s]
 30%|##9       | 232/781 [00:14<00:33, 16.52it/s]
 30%|##9       | 234/781 [00:14<00:33, 16.56it/s]
 30%|###       | 236/781 [00:14<00:32, 16.62it/s]
 30%|###       | 238/781 [00:14<00:32, 16.62it/s]
 31%|###       | 240/781 [00:14<00:32, 16.61it/s]
 31%|###       | 242/781 [00:14<00:32, 16.61it/s]
 31%|###1      | 244/781 [00:14<00:32, 16.59it/s]
 31%|###1      | 246/781 [00:15<00:32, 16.54it/s]
 32%|###1      | 248/781 [00:15<00:32, 16.51it/s]
 32%|###2      | 250/781 [00:15<00:32, 16.53it/s]
 32%|###2      | 252/781 [00:15<00:31, 16.53it/s]
 33%|###2      | 254/781 [00:15<00:31, 16.49it/s]
 33%|###2      | 256/781 [00:15<00:31, 16.44it/s]
 33%|###3      | 258/781 [00:15<00:31, 16.39it/s]
 33%|###3      | 260/781 [00:15<00:32, 16.28it/s]
 34%|###3      | 262/781 [00:16<00:42, 12.12it/s]
 34%|###3      | 264/781 [00:16<00:39, 13.15it/s]
 34%|###4      | 266/781 [00:16<00:36, 14.02it/s]
 34%|###4      | 268/781 [00:16<00:35, 14.56it/s]
 35%|###4      | 270/781 [00:16<00:33, 15.09it/s]
 35%|###4      | 272/781 [00:16<00:32, 15.51it/s]
 35%|###5      | 274/781 [00:16<00:32, 15.81it/s]
 35%|###5      | 276/781 [00:16<00:31, 16.01it/s]
 36%|###5      | 278/781 [00:17<00:31, 16.13it/s]
 36%|###5      | 280/781 [00:17<00:30, 16.25it/s]
 36%|###6      | 282/781 [00:17<00:30, 16.35it/s]
 36%|###6      | 284/781 [00:17<00:30, 16.42it/s]
 37%|###6      | 286/781 [00:17<00:30, 16.46it/s]
 37%|###6      | 288/781 [00:17<00:29, 16.48it/s]
 37%|###7      | 290/781 [00:17<00:29, 16.48it/s]
 37%|###7      | 292/781 [00:17<00:29, 16.45it/s]
 38%|###7      | 294/781 [00:18<00:29, 16.42it/s]
 38%|###7      | 296/781 [00:18<00:29, 16.44it/s]
 38%|###8      | 298/781 [00:18<00:29, 16.45it/s]
 38%|###8      | 300/781 [00:18<00:29, 16.42it/s]
 39%|###8      | 302/781 [00:18<00:29, 16.44it/s]
 39%|###8      | 304/781 [00:18<00:28, 16.47it/s]
 39%|###9      | 306/781 [00:18<00:28, 16.49it/s]
 39%|###9      | 308/781 [00:18<00:28, 16.47it/s]
 40%|###9      | 310/781 [00:19<00:28, 16.45it/s]
 40%|###9      | 312/781 [00:19<00:28, 16.46it/s]
 40%|####      | 314/781 [00:19<00:28, 16.46it/s]
 40%|####      | 316/781 [00:19<00:28, 16.46it/s]
 41%|####      | 318/781 [00:19<00:28, 16.47it/s]
 41%|####      | 320/781 [00:19<00:28, 16.46it/s]
 41%|####1     | 322/781 [00:19<00:27, 16.46it/s]
 41%|####1     | 324/781 [00:19<00:27, 16.45it/s]
 42%|####1     | 326/781 [00:20<00:27, 16.46it/s]
 42%|####1     | 328/781 [00:20<00:27, 16.46it/s]
 42%|####2     | 330/781 [00:20<00:27, 16.46it/s]
 43%|####2     | 332/781 [00:20<00:27, 16.48it/s]
 43%|####2     | 334/781 [00:20<00:27, 16.49it/s]
 43%|####3     | 336/781 [00:20<00:27, 16.38it/s]
 43%|####3     | 338/781 [00:20<00:26, 16.41it/s]
 44%|####3     | 340/781 [00:20<00:26, 16.39it/s]
 44%|####3     | 342/781 [00:21<00:26, 16.38it/s]
 44%|####4     | 344/781 [00:21<00:26, 16.29it/s]
 44%|####4     | 346/781 [00:21<00:26, 16.15it/s]
 45%|####4     | 348/781 [00:21<00:26, 16.07it/s]
 45%|####4     | 350/781 [00:21<00:26, 16.04it/s]
 45%|####5     | 352/781 [00:21<00:26, 16.03it/s]
 45%|####5     | 354/781 [00:21<00:26, 16.05it/s]
 46%|####5     | 356/781 [00:21<00:26, 15.97it/s]
 46%|####5     | 358/781 [00:22<00:26, 15.94it/s]
 46%|####6     | 360/781 [00:22<00:26, 15.95it/s]
 46%|####6     | 362/781 [00:22<00:26, 15.95it/s]
 47%|####6     | 364/781 [00:22<00:26, 15.96it/s]
 47%|####6     | 366/781 [00:22<00:25, 16.01it/s]
 47%|####7     | 368/781 [00:22<00:25, 16.01it/s]
 47%|####7     | 370/781 [00:22<00:25, 16.01it/s]
 48%|####7     | 372/781 [00:22<00:25, 16.11it/s]
 48%|####7     | 374/781 [00:23<00:25, 16.09it/s]
 48%|####8     | 376/781 [00:23<00:25, 16.06it/s]
 48%|####8     | 378/781 [00:23<00:25, 16.03it/s]
 49%|####8     | 380/781 [00:23<00:24, 16.04it/s]
 49%|####8     | 382/781 [00:23<00:24, 16.04it/s]
 49%|####9     | 384/781 [00:23<00:24, 16.04it/s]
 49%|####9     | 386/781 [00:23<00:24, 16.07it/s]
 50%|####9     | 388/781 [00:23<00:24, 16.15it/s]
 50%|####9     | 390/781 [00:23<00:24, 16.24it/s]
 50%|#####     | 392/781 [00:24<00:23, 16.30it/s]
 50%|#####     | 394/781 [00:24<00:23, 16.31it/s]
 51%|#####     | 396/781 [00:24<00:23, 16.23it/s]
 51%|#####     | 398/781 [00:24<00:23, 16.19it/s]
 51%|#####1    | 400/781 [00:24<00:23, 16.13it/s]
 51%|#####1    | 402/781 [00:24<00:23, 16.04it/s]
 52%|#####1    | 404/781 [00:24<00:23, 16.04it/s]
 52%|#####1    | 406/781 [00:24<00:23, 16.07it/s]
 52%|#####2    | 408/781 [00:25<00:23, 16.02it/s]
 52%|#####2    | 410/781 [00:25<00:23, 15.89it/s]
 53%|#####2    | 412/781 [00:25<00:23, 15.92it/s]
 53%|#####3    | 414/781 [00:25<00:23, 15.90it/s]
 53%|#####3    | 416/781 [00:25<00:22, 15.91it/s]
 54%|#####3    | 418/781 [00:25<00:22, 15.86it/s]
 54%|#####3    | 420/781 [00:25<00:22, 15.88it/s]
 54%|#####4    | 422/781 [00:25<00:22, 15.89it/s]
 54%|#####4    | 424/781 [00:26<00:22, 15.82it/s]
 55%|#####4    | 426/781 [00:26<00:22, 15.83it/s]
 55%|#####4    | 428/781 [00:26<00:22, 15.87it/s]
 55%|#####5    | 430/781 [00:26<00:22, 15.78it/s]
 55%|#####5    | 432/781 [00:26<00:22, 15.86it/s]
 56%|#####5    | 434/781 [00:26<00:21, 15.83it/s]
 56%|#####5    | 436/781 [00:26<00:21, 15.94it/s]
 56%|#####6    | 438/781 [00:27<00:21, 15.93it/s]
 56%|#####6    | 440/781 [00:27<00:21, 15.94it/s]
 57%|#####6    | 442/781 [00:27<00:21, 16.07it/s]
 57%|#####6    | 444/781 [00:27<00:20, 16.17it/s]
 57%|#####7    | 446/781 [00:27<00:20, 16.12it/s]
 57%|#####7    | 448/781 [00:27<00:20, 16.09it/s]
 58%|#####7    | 450/781 [00:27<00:20, 16.08it/s]
 58%|#####7    | 452/781 [00:27<00:20, 16.07it/s]
 58%|#####8    | 454/781 [00:28<00:20, 16.00it/s]
 58%|#####8    | 456/781 [00:28<00:20, 15.99it/s]
 59%|#####8    | 458/781 [00:28<00:20, 16.03it/s]
 59%|#####8    | 460/781 [00:28<00:20, 16.02it/s]
 59%|#####9    | 462/781 [00:28<00:19, 16.03it/s]
 59%|#####9    | 464/781 [00:28<00:19, 16.02it/s]
 60%|#####9    | 466/781 [00:28<00:19, 16.02it/s]
 60%|#####9    | 468/781 [00:28<00:19, 16.02it/s]
 60%|######    | 470/781 [00:28<00:19, 16.06it/s]
 60%|######    | 472/781 [00:29<00:19, 16.12it/s]
 61%|######    | 474/781 [00:29<00:18, 16.22it/s]
 61%|######    | 476/781 [00:29<00:18, 16.28it/s]
 61%|######1   | 478/781 [00:29<00:18, 16.33it/s]
 61%|######1   | 480/781 [00:29<00:18, 16.35it/s]
 62%|######1   | 482/781 [00:29<00:18, 16.33it/s]
 62%|######1   | 484/781 [00:29<00:18, 16.23it/s]
 62%|######2   | 486/781 [00:29<00:18, 16.17it/s]
 62%|######2   | 488/781 [00:30<00:18, 16.09it/s]
 63%|######2   | 490/781 [00:30<00:17, 16.18it/s]
 63%|######2   | 492/781 [00:30<00:17, 16.27it/s]
 63%|######3   | 494/781 [00:30<00:17, 16.30it/s]
 64%|######3   | 496/781 [00:30<00:17, 16.33it/s]
 64%|######3   | 498/781 [00:30<00:17, 16.39it/s]
 64%|######4   | 500/781 [00:30<00:17, 16.37it/s]
 64%|######4   | 502/781 [00:30<00:17, 16.36it/s]
 65%|######4   | 504/781 [00:31<00:17, 16.28it/s]
 65%|######4   | 506/781 [00:31<00:17, 15.95it/s]
 65%|######5   | 508/781 [00:31<00:17, 15.94it/s]
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100%|##########| 781/781 [00:48<00:00, 16.03it/s]




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Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.51s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.51s/it]
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Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.14s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.51s/it]
Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.14s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.52s/it]
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/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

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  3%|3         | 25/781 [00:01<00:40, 18.79it/s]
  3%|3         | 27/781 [00:01<00:40, 18.55it/s]
  4%|3         | 30/781 [00:01<00:39, 19.15it/s]
  4%|4         | 32/781 [00:01<00:39, 19.16it/s]
  4%|4         | 35/781 [00:01<00:37, 19.66it/s]
  5%|4         | 37/781 [00:01<00:37, 19.63it/s]
  5%|4         | 39/781 [00:02<00:38, 19.34it/s]
  5%|5         | 41/781 [00:02<00:38, 19.42it/s]
  6%|5         | 43/781 [00:02<00:38, 19.19it/s]
  6%|5         | 46/781 [00:02<00:37, 19.51it/s]
  6%|6         | 48/781 [00:02<00:38, 19.04it/s]
  6%|6         | 50/781 [00:02<00:39, 18.71it/s]
  7%|6         | 52/781 [00:02<00:38, 18.73it/s]
  7%|6         | 54/781 [00:02<00:38, 18.83it/s]
  7%|7         | 56/781 [00:02<00:38, 18.93it/s]
  8%|7         | 59/781 [00:03<00:37, 19.51it/s]
  8%|7         | 61/781 [00:03<00:38, 18.94it/s]
  8%|8         | 63/781 [00:03<00:38, 18.71it/s]
  8%|8         | 65/781 [00:03<00:38, 18.39it/s]
  9%|8         | 67/781 [00:03<00:39, 18.25it/s]
  9%|8         | 69/781 [00:03<00:39, 18.00it/s]
  9%|9         | 71/781 [00:03<00:39, 17.82it/s]
  9%|9         | 73/781 [00:03<00:39, 17.72it/s]
 10%|9         | 75/781 [00:03<00:39, 17.67it/s]
 10%|9         | 77/781 [00:04<00:39, 17.65it/s]
 10%|#         | 79/781 [00:04<00:39, 17.67it/s]
 10%|#         | 82/781 [00:04<00:38, 18.25it/s]
 11%|#         | 84/781 [00:04<00:38, 18.06it/s]
 11%|#1        | 86/781 [00:04<00:41, 16.56it/s]
 11%|#1        | 88/781 [00:04<00:40, 16.94it/s]
 12%|#1        | 90/781 [00:04<00:39, 17.28it/s]
 12%|#1        | 92/781 [00:04<00:39, 17.52it/s]
 12%|#2        | 94/781 [00:05<00:38, 17.71it/s]
 12%|#2        | 96/781 [00:05<00:37, 18.04it/s]
 13%|#2        | 98/781 [00:05<00:37, 18.10it/s]
 13%|#2        | 100/781 [00:05<00:37, 18.16it/s]
 13%|#3        | 102/781 [00:05<00:37, 18.21it/s]
 13%|#3        | 104/781 [00:05<00:36, 18.43it/s]
 14%|#3        | 106/781 [00:05<00:36, 18.38it/s]
 14%|#3        | 108/781 [00:05<00:36, 18.36it/s]
 14%|#4        | 110/781 [00:05<00:36, 18.51it/s]
 14%|#4        | 112/781 [00:06<00:35, 18.61it/s]
 15%|#4        | 114/781 [00:06<00:36, 18.40it/s]
 15%|#4        | 116/781 [00:06<00:36, 18.10it/s]
 15%|#5        | 118/781 [00:06<00:35, 18.56it/s]
 15%|#5        | 120/781 [00:06<00:35, 18.66it/s]
 16%|#5        | 122/781 [00:06<00:34, 18.97it/s]
 16%|#5        | 124/781 [00:06<00:35, 18.72it/s]
 16%|#6        | 126/781 [00:06<00:35, 18.55it/s]
 16%|#6        | 128/781 [00:06<00:35, 18.43it/s]
 17%|#6        | 130/781 [00:07<00:35, 18.54it/s]
 17%|#6        | 132/781 [00:07<00:35, 18.41it/s]
 17%|#7        | 134/781 [00:07<00:34, 18.57it/s]
 17%|#7        | 136/781 [00:07<00:34, 18.44it/s]
 18%|#7        | 138/781 [00:07<00:34, 18.40it/s]
 18%|#7        | 140/781 [00:07<00:34, 18.35it/s]
 18%|#8        | 142/781 [00:07<00:34, 18.56it/s]
 18%|#8        | 144/781 [00:07<00:34, 18.63it/s]
 19%|#8        | 146/781 [00:07<00:33, 18.74it/s]
 19%|#8        | 148/781 [00:07<00:34, 18.57it/s]
 19%|#9        | 150/781 [00:08<00:33, 18.68it/s]
 19%|#9        | 152/781 [00:08<00:33, 18.58it/s]
 20%|#9        | 154/781 [00:08<00:33, 18.49it/s]
 20%|#9        | 156/781 [00:08<00:33, 18.65it/s]
 20%|##        | 158/781 [00:08<00:33, 18.48it/s]
 20%|##        | 160/781 [00:08<00:33, 18.61it/s]
 21%|##        | 162/781 [00:08<00:32, 18.96it/s]
 21%|##        | 164/781 [00:08<00:32, 19.23it/s]
 21%|##1       | 166/781 [00:08<00:32, 19.14it/s]
 22%|##1       | 168/781 [00:09<00:32, 18.83it/s]
 22%|##1       | 170/781 [00:09<00:32, 18.88it/s]
 22%|##2       | 172/781 [00:09<00:32, 18.66it/s]
 22%|##2       | 174/781 [00:09<00:32, 18.54it/s]
 23%|##2       | 176/781 [00:09<00:32, 18.47it/s]
 23%|##2       | 178/781 [00:09<00:32, 18.62it/s]
 23%|##3       | 180/781 [00:09<00:32, 18.69it/s]
 23%|##3       | 182/781 [00:09<00:32, 18.70it/s]
 24%|##3       | 184/781 [00:09<00:32, 18.49it/s]
 24%|##3       | 186/781 [00:10<00:32, 18.38it/s]
 24%|##4       | 188/781 [00:10<00:32, 18.34it/s]
 24%|##4       | 190/781 [00:10<00:32, 18.26it/s]
 25%|##4       | 192/781 [00:10<00:31, 18.44it/s]
 25%|##4       | 194/781 [00:10<00:31, 18.54it/s]
 25%|##5       | 196/781 [00:10<00:31, 18.85it/s]
 25%|##5       | 198/781 [00:10<00:30, 18.89it/s]
 26%|##5       | 200/781 [00:10<00:30, 19.12it/s]
 26%|##5       | 202/781 [00:10<00:30, 19.28it/s]
 26%|##6       | 204/781 [00:10<00:30, 19.13it/s]
 26%|##6       | 206/781 [00:11<00:30, 19.04it/s]
 27%|##6       | 208/781 [00:11<00:29, 19.23it/s]
 27%|##6       | 210/781 [00:11<00:29, 19.14it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.05it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.24it/s]
 28%|##7       | 216/781 [00:11<00:29, 19.12it/s]
 28%|##7       | 218/781 [00:11<00:29, 18.80it/s]
 28%|##8       | 220/781 [00:11<00:29, 18.80it/s]
 28%|##8       | 222/781 [00:11<00:29, 18.82it/s]
 29%|##8       | 224/781 [00:12<00:29, 18.59it/s]
 29%|##8       | 226/781 [00:12<00:29, 18.89it/s]
 29%|##9       | 228/781 [00:12<00:29, 18.53it/s]
 29%|##9       | 230/781 [00:12<00:30, 18.29it/s]
 30%|##9       | 232/781 [00:12<00:30, 18.15it/s]
 30%|##9       | 234/781 [00:12<00:29, 18.24it/s]
 30%|###       | 236/781 [00:12<00:29, 18.45it/s]
 30%|###       | 238/781 [00:12<00:29, 18.56it/s]
 31%|###       | 240/781 [00:12<00:29, 18.45it/s]
 31%|###       | 242/781 [00:13<00:28, 18.60it/s]
 31%|###1      | 244/781 [00:13<00:28, 18.94it/s]
 31%|###1      | 246/781 [00:13<00:28, 18.89it/s]
 32%|###1      | 248/781 [00:13<00:28, 18.88it/s]
 32%|###2      | 250/781 [00:13<00:28, 18.54it/s]
 32%|###2      | 252/781 [00:13<00:28, 18.37it/s]
 33%|###2      | 254/781 [00:13<00:28, 18.32it/s]
 33%|###2      | 256/781 [00:13<00:28, 18.57it/s]
 33%|###3      | 258/781 [00:13<00:28, 18.58it/s]
 33%|###3      | 260/781 [00:13<00:28, 18.30it/s]
 34%|###3      | 262/781 [00:14<00:27, 18.54it/s]
 34%|###3      | 264/781 [00:14<00:27, 18.53it/s]
 34%|###4      | 266/781 [00:14<00:27, 18.44it/s]
 34%|###4      | 268/781 [00:14<00:28, 18.21it/s]
 35%|###4      | 270/781 [00:14<00:27, 18.25it/s]
 35%|###4      | 272/781 [00:14<00:27, 18.42it/s]
 35%|###5      | 274/781 [00:14<00:27, 18.16it/s]
 35%|###5      | 276/781 [00:14<00:27, 18.47it/s]
 36%|###5      | 278/781 [00:14<00:26, 18.69it/s]
 36%|###5      | 280/781 [00:15<00:27, 18.40it/s]
 36%|###6      | 282/781 [00:15<00:27, 18.19it/s]
 36%|###6      | 284/781 [00:15<00:26, 18.49it/s]
 37%|###6      | 286/781 [00:15<00:27, 18.24it/s]
 37%|###6      | 288/781 [00:15<00:26, 18.51it/s]
 37%|###7      | 290/781 [00:15<00:26, 18.71it/s]
 37%|###7      | 292/781 [00:15<00:26, 18.60it/s]
 38%|###7      | 294/781 [00:15<00:25, 18.82it/s]
 38%|###7      | 296/781 [00:15<00:25, 19.08it/s]
 38%|###8      | 298/781 [00:16<00:25, 19.01it/s]
 38%|###8      | 300/781 [00:16<00:25, 19.01it/s]
 39%|###8      | 302/781 [00:16<00:25, 19.01it/s]
 39%|###8      | 304/781 [00:16<00:24, 19.21it/s]
 39%|###9      | 306/781 [00:16<00:24, 19.37it/s]
 39%|###9      | 308/781 [00:16<00:24, 18.96it/s]
 40%|###9      | 310/781 [00:16<00:25, 18.75it/s]
 40%|###9      | 312/781 [00:16<00:24, 18.80it/s]
 40%|####      | 314/781 [00:16<00:25, 18.58it/s]
 40%|####      | 316/781 [00:16<00:25, 18.49it/s]
 41%|####      | 318/781 [00:17<00:25, 18.40it/s]
 41%|####      | 320/781 [00:17<00:24, 18.53it/s]
 41%|####1     | 322/781 [00:17<00:24, 18.42it/s]
 41%|####1     | 324/781 [00:17<00:24, 18.54it/s]
 42%|####1     | 326/781 [00:17<00:24, 18.32it/s]
 42%|####1     | 328/781 [00:17<00:24, 18.33it/s]
 42%|####2     | 330/781 [00:17<00:24, 18.11it/s]
 43%|####2     | 332/781 [00:17<00:24, 18.22it/s]
 43%|####2     | 334/781 [00:17<00:24, 18.49it/s]
 43%|####3     | 336/781 [00:18<00:24, 18.45it/s]
 43%|####3     | 338/781 [00:18<00:23, 18.49it/s]
 44%|####3     | 340/781 [00:18<00:23, 18.62it/s]
 44%|####3     | 342/781 [00:18<00:23, 18.48it/s]
 44%|####4     | 344/781 [00:18<00:23, 18.43it/s]
 44%|####4     | 346/781 [00:18<00:23, 18.59it/s]
 45%|####4     | 348/781 [00:18<00:23, 18.71it/s]
 45%|####4     | 350/781 [00:18<00:23, 18.55it/s]
 45%|####5     | 352/781 [00:18<00:22, 18.66it/s]
 45%|####5     | 354/781 [00:19<00:23, 18.38it/s]
 46%|####5     | 356/781 [00:19<00:23, 18.42it/s]
 46%|####5     | 358/781 [00:19<00:22, 18.53it/s]
 46%|####6     | 360/781 [00:19<00:22, 18.40it/s]
 46%|####6     | 362/781 [00:19<00:22, 18.35it/s]
 47%|####6     | 364/781 [00:19<00:22, 18.74it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.80it/s]
 47%|####7     | 368/781 [00:19<00:21, 18.86it/s]
 47%|####7     | 370/781 [00:19<00:22, 18.61it/s]
 48%|####7     | 372/781 [00:20<00:22, 18.41it/s]
 48%|####7     | 374/781 [00:20<00:22, 18.24it/s]
 48%|####8     | 376/781 [00:20<00:22, 18.13it/s]
 48%|####8     | 378/781 [00:20<00:22, 18.21it/s]
 49%|####8     | 380/781 [00:20<00:21, 18.23it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.14it/s]
 49%|####9     | 384/781 [00:20<00:21, 18.25it/s]
 49%|####9     | 386/781 [00:20<00:21, 18.08it/s]
 50%|####9     | 388/781 [00:20<00:21, 18.21it/s]
 50%|####9     | 390/781 [00:21<00:21, 17.93it/s]
 50%|#####     | 392/781 [00:21<00:21, 18.05it/s]
 50%|#####     | 394/781 [00:21<00:21, 18.14it/s]
 51%|#####     | 396/781 [00:21<00:21, 18.23it/s]
 51%|#####     | 398/781 [00:21<00:20, 18.48it/s]
 51%|#####1    | 400/781 [00:21<00:20, 18.81it/s]
 51%|#####1    | 402/781 [00:21<00:20, 18.94it/s]
 52%|#####1    | 404/781 [00:21<00:19, 19.10it/s]
 52%|#####1    | 406/781 [00:21<00:19, 19.00it/s]
 52%|#####2    | 408/781 [00:21<00:19, 19.20it/s]
 52%|#####2    | 410/781 [00:22<00:19, 18.83it/s]
 53%|#####2    | 412/781 [00:22<00:19, 19.10it/s]
 53%|#####3    | 414/781 [00:22<00:19, 19.26it/s]
 53%|#####3    | 416/781 [00:22<00:18, 19.43it/s]
 54%|#####3    | 418/781 [00:22<00:18, 19.25it/s]
 54%|#####3    | 420/781 [00:22<00:18, 19.43it/s]
 54%|#####4    | 422/781 [00:22<00:18, 19.03it/s]
 54%|#####4    | 424/781 [00:22<00:18, 19.26it/s]
 55%|#####4    | 426/781 [00:22<00:18, 18.75it/s]
 55%|#####4    | 428/781 [00:23<00:18, 18.85it/s]
 55%|#####5    | 430/781 [00:23<00:18, 18.86it/s]
 55%|#####5    | 432/781 [00:23<00:18, 18.87it/s]
 56%|#####5    | 434/781 [00:23<00:18, 18.76it/s]
 56%|#####5    | 436/781 [00:23<00:18, 18.50it/s]
 56%|#####6    | 438/781 [00:23<00:18, 18.44it/s]
 56%|#####6    | 440/781 [00:23<00:18, 18.81it/s]
 57%|#####6    | 442/781 [00:23<00:17, 19.00it/s]
 57%|#####6    | 444/781 [00:23<00:17, 18.76it/s]
 57%|#####7    | 446/781 [00:23<00:17, 18.86it/s]
 57%|#####7    | 448/781 [00:24<00:17, 18.93it/s]
 58%|#####7    | 450/781 [00:24<00:17, 19.03it/s]
 58%|#####7    | 452/781 [00:24<00:17, 18.60it/s]
 58%|#####8    | 454/781 [00:24<00:17, 18.47it/s]
 58%|#####8    | 456/781 [00:24<00:17, 18.23it/s]
 59%|#####8    | 458/781 [00:24<00:17, 18.05it/s]
 59%|#####8    | 460/781 [00:24<00:17, 18.09it/s]
 59%|#####9    | 462/781 [00:24<00:17, 18.36it/s]
 59%|#####9    | 464/781 [00:24<00:17, 18.62it/s]
 60%|#####9    | 466/781 [00:25<00:17, 18.52it/s]
 60%|#####9    | 468/781 [00:25<00:16, 18.57it/s]
 60%|######    | 470/781 [00:25<00:16, 18.43it/s]
 60%|######    | 472/781 [00:25<00:16, 18.79it/s]
 61%|######    | 474/781 [00:25<00:16, 18.68it/s]
 61%|######    | 476/781 [00:25<00:16, 18.45it/s]
 61%|######1   | 478/781 [00:25<00:16, 18.22it/s]
 61%|######1   | 480/781 [00:25<00:16, 18.54it/s]
 62%|######1   | 482/781 [00:25<00:16, 18.53it/s]
 62%|######1   | 484/781 [00:26<00:16, 18.40it/s]
 62%|######2   | 486/781 [00:26<00:15, 18.77it/s]
 62%|######2   | 488/781 [00:26<00:15, 18.56it/s]
 63%|######2   | 490/781 [00:26<00:15, 18.64it/s]
 63%|######2   | 492/781 [00:26<00:15, 18.48it/s]
 63%|######3   | 494/781 [00:26<00:15, 18.26it/s]
 64%|######3   | 496/781 [00:26<00:15, 18.31it/s]
 64%|######3   | 498/781 [00:26<00:15, 18.31it/s]
 64%|######4   | 500/781 [00:26<00:15, 18.11it/s]
 64%|######4   | 502/781 [00:27<00:15, 18.41it/s]
 65%|######4   | 504/781 [00:27<00:14, 18.69it/s]
 65%|######4   | 506/781 [00:27<00:14, 18.85it/s]
 65%|######5   | 508/781 [00:27<00:14, 18.93it/s]
 65%|######5   | 510/781 [00:27<00:14, 18.76it/s]
 66%|######5   | 512/781 [00:27<00:14, 18.41it/s]
 66%|######5   | 514/781 [00:27<00:14, 18.48it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.80it/s]
 66%|######6   | 518/781 [00:27<00:13, 18.81it/s]
 67%|######6   | 520/781 [00:27<00:14, 18.57it/s]
 67%|######6   | 522/781 [00:28<00:14, 18.45it/s]
 67%|######7   | 524/781 [00:28<00:13, 18.38it/s]
 67%|######7   | 526/781 [00:28<00:13, 18.54it/s]
 68%|######7   | 528/781 [00:28<00:13, 18.40it/s]
 68%|######7   | 530/781 [00:28<00:13, 18.50it/s]
 68%|######8   | 532/781 [00:28<00:13, 18.61it/s]
 68%|######8   | 534/781 [00:28<00:13, 18.61it/s]
 69%|######8   | 536/781 [00:28<00:12, 18.89it/s]
 69%|######8   | 538/781 [00:28<00:13, 18.63it/s]
 69%|######9   | 540/781 [00:29<00:13, 18.52it/s]
 69%|######9   | 542/781 [00:29<00:12, 18.63it/s]
 70%|######9   | 544/781 [00:29<00:12, 18.51it/s]
 70%|######9   | 546/781 [00:29<00:12, 18.64it/s]
 70%|#######   | 548/781 [00:29<00:12, 18.48it/s]
 70%|#######   | 550/781 [00:29<00:12, 18.57it/s]
 71%|#######   | 552/781 [00:29<00:12, 18.65it/s]
 71%|#######   | 554/781 [00:29<00:12, 18.68it/s]
 71%|#######1  | 556/781 [00:29<00:12, 18.71it/s]
 71%|#######1  | 558/781 [00:30<00:11, 18.73it/s]
 72%|#######1  | 560/781 [00:30<00:11, 18.53it/s]
 72%|#######1  | 562/781 [00:30<00:11, 18.64it/s]
 72%|#######2  | 564/781 [00:30<00:11, 18.91it/s]
 72%|#######2  | 566/781 [00:30<00:11, 18.63it/s]
 73%|#######2  | 568/781 [00:30<00:11, 18.70it/s]
 73%|#######2  | 570/781 [00:30<00:11, 18.75it/s]
 73%|#######3  | 572/781 [00:30<00:11, 18.53it/s]
 73%|#######3  | 574/781 [00:30<00:11, 18.41it/s]
 74%|#######3  | 576/781 [00:30<00:11, 18.54it/s]
 74%|#######4  | 578/781 [00:31<00:10, 18.87it/s]
 74%|#######4  | 580/781 [00:31<00:10, 18.61it/s]
 75%|#######4  | 582/781 [00:31<00:10, 18.91it/s]
 75%|#######4  | 584/781 [00:31<00:10, 18.87it/s]
 75%|#######5  | 586/781 [00:31<00:10, 19.12it/s]
 75%|#######5  | 588/781 [00:31<00:10, 19.01it/s]
 76%|#######5  | 590/781 [00:31<00:10, 18.69it/s]
 76%|#######5  | 592/781 [00:31<00:10, 18.52it/s]
 76%|#######6  | 594/781 [00:31<00:10, 18.62it/s]
 76%|#######6  | 596/781 [00:32<00:09, 18.67it/s]
 77%|#######6  | 598/781 [00:32<00:09, 18.34it/s]
 77%|#######6  | 600/781 [00:32<00:09, 18.47it/s]
 77%|#######7  | 602/781 [00:32<00:09, 18.56it/s]
 77%|#######7  | 604/781 [00:32<00:09, 18.35it/s]
 78%|#######7  | 606/781 [00:32<00:09, 18.46it/s]
 78%|#######7  | 608/781 [00:32<00:09, 18.56it/s]
 78%|#######8  | 610/781 [00:32<00:09, 18.80it/s]
 78%|#######8  | 612/781 [00:32<00:09, 18.59it/s]
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Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:03<00:00,  3.64s/it]
100%|##########| 1/1 [00:03<00:00,  3.64s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:11, 13.92it/s]
  3%|2         | 4/157 [00:00<00:10, 14.46it/s]
  4%|3         | 6/157 [00:00<00:09, 15.37it/s]
  5%|5         | 8/157 [00:00<00:09, 16.00it/s]
  6%|6         | 10/157 [00:00<00:09, 16.25it/s]
  8%|7         | 12/157 [00:00<00:08, 16.52it/s]
  9%|8         | 14/157 [00:00<00:08, 16.57it/s]
 10%|#         | 16/157 [00:00<00:08, 16.87it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.95it/s]
 13%|#2        | 20/157 [00:01<00:08, 16.94it/s]
 14%|#4        | 22/157 [00:01<00:07, 17.03it/s]
 15%|#5        | 24/157 [00:01<00:07, 17.05it/s]
 17%|#6        | 26/157 [00:01<00:07, 16.95it/s]
 18%|#7        | 28/157 [00:01<00:07, 16.98it/s]
 19%|#9        | 30/157 [00:01<00:07, 17.12it/s]
 20%|##        | 32/157 [00:01<00:07, 16.98it/s]
 22%|##1       | 34/157 [00:02<00:07, 17.10it/s]
 23%|##2       | 36/157 [00:02<00:07, 16.99it/s]
 24%|##4       | 38/157 [00:02<00:06, 17.13it/s]
 25%|##5       | 40/157 [00:02<00:06, 17.08it/s]
 27%|##6       | 42/157 [00:02<00:06, 17.04it/s]
 28%|##8       | 44/157 [00:02<00:06, 17.00it/s]
 29%|##9       | 46/157 [00:02<00:06, 17.00it/s]
 31%|###       | 48/157 [00:02<00:06, 17.10it/s]
 32%|###1      | 50/157 [00:02<00:06, 17.00it/s]
 33%|###3      | 52/157 [00:03<00:06, 17.14it/s]
 34%|###4      | 54/157 [00:03<00:06, 17.11it/s]
 36%|###5      | 56/157 [00:03<00:05, 17.10it/s]
 37%|###6      | 58/157 [00:03<00:05, 17.12it/s]
 38%|###8      | 60/157 [00:03<00:05, 17.12it/s]
 39%|###9      | 62/157 [00:03<00:05, 17.11it/s]
 41%|####      | 64/157 [00:03<00:05, 16.99it/s]
 42%|####2     | 66/157 [00:03<00:05, 17.10it/s]
 43%|####3     | 68/157 [00:04<00:05, 17.13it/s]
 45%|####4     | 70/157 [00:04<00:05, 17.01it/s]
 46%|####5     | 72/157 [00:04<00:04, 17.14it/s]
 47%|####7     | 74/157 [00:04<00:04, 17.04it/s]
 48%|####8     | 76/157 [00:04<00:04, 17.07it/s]
 50%|####9     | 78/157 [00:04<00:04, 17.20it/s]
 51%|#####     | 80/157 [00:04<00:04, 17.17it/s]
 52%|#####2    | 82/157 [00:04<00:04, 17.15it/s]
 54%|#####3    | 84/157 [00:04<00:04, 17.10it/s]
 55%|#####4    | 86/157 [00:05<00:04, 17.08it/s]
 56%|#####6    | 88/157 [00:05<00:04, 16.94it/s]
 57%|#####7    | 90/157 [00:05<00:03, 16.95it/s]
 59%|#####8    | 92/157 [00:05<00:03, 17.02it/s]
 60%|#####9    | 94/157 [00:05<00:03, 17.05it/s]
 61%|######1   | 96/157 [00:05<00:03, 17.17it/s]
 62%|######2   | 98/157 [00:05<00:03, 17.14it/s]
 64%|######3   | 100/157 [00:05<00:03, 17.10it/s]
 65%|######4   | 102/157 [00:06<00:03, 16.88it/s]
 66%|######6   | 104/157 [00:06<00:03, 16.93it/s]
 68%|######7   | 106/157 [00:06<00:03, 16.86it/s]
 69%|######8   | 108/157 [00:06<00:02, 16.84it/s]
 70%|#######   | 110/157 [00:06<00:02, 16.77it/s]
 71%|#######1  | 112/157 [00:06<00:02, 16.75it/s]
 73%|#######2  | 114/157 [00:06<00:02, 16.76it/s]
 74%|#######3  | 116/157 [00:06<00:02, 16.76it/s]
 75%|#######5  | 118/157 [00:06<00:02, 16.70it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.79it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.83it/s]
 79%|#######8  | 124/157 [00:07<00:01, 16.88it/s]
 80%|########  | 126/157 [00:07<00:01, 16.84it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.70it/s]
 83%|########2 | 130/157 [00:07<00:01, 16.87it/s]
 84%|########4 | 132/157 [00:07<00:01, 16.56it/s]
 85%|########5 | 134/157 [00:07<00:01, 16.59it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.67it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.64it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.66it/s]
 90%|######### | 142/157 [00:08<00:00, 16.71it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.82it/s]
 93%|#########2| 146/157 [00:08<00:00, 16.79it/s]
 94%|#########4| 148/157 [00:08<00:00, 16.93it/s]
 96%|#########5| 150/157 [00:08<00:00, 17.03it/s]
 97%|#########6| 152/157 [00:09<00:00, 17.09it/s]
 98%|#########8| 154/157 [00:09<00:00, 17.07it/s]
 99%|#########9| 156/157 [00:09<00:00, 17.05it/s]
100%|##########| 157/157 [00:09<00:00, 16.95it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:53, 14.66it/s]
  1%|          | 4/781 [00:00<00:46, 16.86it/s]
  1%|          | 6/781 [00:00<00:43, 17.77it/s]
  1%|1         | 8/781 [00:00<00:42, 18.39it/s]
  1%|1         | 10/781 [00:00<00:41, 18.78it/s]
  2%|1         | 12/781 [00:00<00:40, 19.03it/s]
  2%|1         | 14/781 [00:00<00:39, 19.23it/s]
  2%|2         | 16/781 [00:00<00:39, 19.35it/s]
  2%|2         | 18/781 [00:00<00:39, 19.25it/s]
  3%|2         | 20/781 [00:01<00:39, 19.16it/s]
  3%|2         | 22/781 [00:01<00:39, 19.18it/s]
  3%|3         | 24/781 [00:01<00:39, 19.14it/s]
  3%|3         | 26/781 [00:01<00:39, 19.11it/s]
  4%|3         | 28/781 [00:01<00:39, 19.20it/s]
  4%|3         | 30/781 [00:01<00:38, 19.32it/s]
  4%|4         | 32/781 [00:01<00:38, 19.40it/s]
  4%|4         | 34/781 [00:01<00:38, 19.49it/s]
  5%|4         | 36/781 [00:01<00:38, 19.53it/s]
  5%|4         | 38/781 [00:01<00:37, 19.59it/s]
  5%|5         | 40/781 [00:02<00:37, 19.58it/s]
  5%|5         | 42/781 [00:02<00:37, 19.56it/s]
  6%|5         | 44/781 [00:02<00:37, 19.42it/s]
  6%|5         | 46/781 [00:02<00:38, 19.33it/s]
  6%|6         | 48/781 [00:02<00:38, 19.22it/s]
  6%|6         | 50/781 [00:02<00:38, 19.18it/s]
  7%|6         | 52/781 [00:02<00:37, 19.30it/s]
  7%|6         | 54/781 [00:02<00:37, 19.42it/s]
  7%|7         | 56/781 [00:02<00:37, 19.39it/s]
  7%|7         | 58/781 [00:03<00:37, 19.41it/s]
  8%|7         | 60/781 [00:03<00:37, 19.43it/s]
  8%|7         | 62/781 [00:03<00:36, 19.47it/s]
  8%|8         | 64/781 [00:03<00:37, 19.36it/s]
  8%|8         | 66/781 [00:03<00:37, 19.24it/s]
  9%|8         | 68/781 [00:03<00:36, 19.29it/s]
  9%|8         | 70/781 [00:03<00:36, 19.36it/s]
  9%|9         | 72/781 [00:03<00:36, 19.41it/s]
  9%|9         | 74/781 [00:03<00:36, 19.44it/s]
 10%|9         | 76/781 [00:03<00:36, 19.44it/s]
 10%|9         | 78/781 [00:04<00:36, 19.44it/s]
 10%|#         | 80/781 [00:04<00:36, 19.47it/s]
 10%|#         | 82/781 [00:04<00:35, 19.46it/s]
 11%|#         | 84/781 [00:04<00:35, 19.40it/s]
 11%|#1        | 86/781 [00:04<00:35, 19.35it/s]
 11%|#1        | 88/781 [00:04<00:35, 19.41it/s]
 12%|#1        | 90/781 [00:04<00:35, 19.40it/s]
 12%|#1        | 92/781 [00:04<00:35, 19.42it/s]
 12%|#2        | 94/781 [00:04<00:35, 19.43it/s]
 12%|#2        | 96/781 [00:04<00:35, 19.43it/s]
 13%|#2        | 98/781 [00:05<00:35, 19.39it/s]
 13%|#2        | 100/781 [00:05<00:35, 19.41it/s]
 13%|#3        | 102/781 [00:05<00:35, 19.39it/s]
 13%|#3        | 104/781 [00:05<00:34, 19.37it/s]
 14%|#3        | 106/781 [00:05<00:34, 19.32it/s]
 14%|#3        | 108/781 [00:05<00:34, 19.29it/s]
 14%|#4        | 110/781 [00:05<00:34, 19.30it/s]
 14%|#4        | 112/781 [00:05<00:34, 19.35it/s]
 15%|#4        | 114/781 [00:05<00:34, 19.41it/s]
 15%|#4        | 116/781 [00:06<00:34, 19.42it/s]
 15%|#5        | 118/781 [00:06<00:34, 19.45it/s]
 15%|#5        | 120/781 [00:06<00:33, 19.49it/s]
 16%|#5        | 122/781 [00:06<00:33, 19.47it/s]
 16%|#5        | 124/781 [00:06<00:33, 19.48it/s]
 16%|#6        | 126/781 [00:06<00:33, 19.48it/s]
 16%|#6        | 128/781 [00:06<00:33, 19.51it/s]
 17%|#6        | 130/781 [00:06<00:33, 19.51it/s]
 17%|#6        | 132/781 [00:06<00:33, 19.47it/s]
 17%|#7        | 134/781 [00:06<00:33, 19.40it/s]
 17%|#7        | 136/781 [00:07<00:33, 19.40it/s]
 18%|#7        | 138/781 [00:07<00:33, 19.38it/s]
 18%|#7        | 140/781 [00:07<00:33, 19.42it/s]
 18%|#8        | 142/781 [00:07<00:32, 19.45it/s]
 18%|#8        | 144/781 [00:07<00:32, 19.45it/s]
 19%|#8        | 146/781 [00:07<00:33, 18.93it/s]
 19%|#8        | 148/781 [00:07<00:33, 19.05it/s]
 19%|#9        | 150/781 [00:07<00:32, 19.16it/s]
 19%|#9        | 152/781 [00:07<00:33, 19.04it/s]
 20%|#9        | 154/781 [00:07<00:33, 18.97it/s]
 20%|#9        | 156/781 [00:08<00:32, 18.98it/s]
 20%|##        | 158/781 [00:08<00:32, 18.95it/s]
 20%|##        | 160/781 [00:08<00:32, 19.13it/s]
 21%|##        | 162/781 [00:08<00:32, 19.14it/s]
 21%|##        | 164/781 [00:08<00:32, 19.21it/s]
 21%|##1       | 166/781 [00:08<00:31, 19.34it/s]
 22%|##1       | 168/781 [00:08<00:31, 19.20it/s]
 22%|##1       | 170/781 [00:08<00:31, 19.14it/s]
 22%|##2       | 172/781 [00:08<00:31, 19.16it/s]
 22%|##2       | 174/781 [00:09<00:31, 19.04it/s]
 23%|##2       | 176/781 [00:09<00:31, 18.94it/s]
 23%|##2       | 178/781 [00:09<00:31, 18.99it/s]
 23%|##3       | 180/781 [00:09<00:31, 19.18it/s]
 23%|##3       | 182/781 [00:09<00:31, 19.30it/s]
 24%|##3       | 184/781 [00:09<00:31, 19.24it/s]
 24%|##3       | 186/781 [00:09<00:30, 19.20it/s]
 24%|##4       | 188/781 [00:09<00:30, 19.20it/s]
 24%|##4       | 190/781 [00:09<00:30, 19.16it/s]
 25%|##4       | 192/781 [00:09<00:30, 19.13it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.21it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.36it/s]
 25%|##5       | 198/781 [00:10<00:30, 19.42it/s]
 26%|##5       | 200/781 [00:10<00:29, 19.48it/s]
 26%|##5       | 202/781 [00:10<00:29, 19.52it/s]
 26%|##6       | 204/781 [00:10<00:29, 19.54it/s]
 26%|##6       | 206/781 [00:10<00:29, 19.49it/s]
 27%|##6       | 208/781 [00:10<00:29, 19.37it/s]
 27%|##6       | 210/781 [00:10<00:29, 19.28it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.29it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.17it/s]
 28%|##7       | 216/781 [00:11<00:29, 19.11it/s]
 28%|##7       | 218/781 [00:11<00:29, 19.05it/s]
 28%|##8       | 220/781 [00:11<00:29, 19.21it/s]
 28%|##8       | 222/781 [00:11<00:28, 19.31it/s]
 29%|##8       | 224/781 [00:11<00:28, 19.41it/s]
 29%|##8       | 226/781 [00:11<00:28, 19.45it/s]
 29%|##9       | 228/781 [00:11<00:28, 19.52it/s]
 29%|##9       | 230/781 [00:11<00:28, 19.53it/s]
 30%|##9       | 232/781 [00:12<00:28, 19.56it/s]
 30%|##9       | 234/781 [00:12<00:27, 19.57it/s]
 30%|###       | 236/781 [00:12<00:27, 19.57it/s]
 30%|###       | 238/781 [00:12<00:27, 19.55it/s]
 31%|###       | 240/781 [00:12<00:27, 19.55it/s]
 31%|###       | 242/781 [00:12<00:27, 19.56it/s]
 31%|###1      | 244/781 [00:12<00:27, 19.62it/s]
 31%|###1      | 246/781 [00:12<00:27, 19.63it/s]
 32%|###1      | 248/781 [00:12<00:27, 19.61it/s]
 32%|###2      | 250/781 [00:12<00:27, 19.63it/s]
 32%|###2      | 252/781 [00:13<00:26, 19.66it/s]
 33%|###2      | 254/781 [00:13<00:26, 19.67it/s]
 33%|###2      | 256/781 [00:13<00:26, 19.68it/s]
 33%|###3      | 258/781 [00:13<00:26, 19.68it/s]
 33%|###3      | 260/781 [00:13<00:26, 19.57it/s]
 34%|###3      | 262/781 [00:13<00:26, 19.58it/s]
 34%|###3      | 264/781 [00:13<00:26, 19.61it/s]
 34%|###4      | 266/781 [00:13<00:26, 19.60it/s]
 34%|###4      | 268/781 [00:13<00:26, 19.61it/s]
 35%|###4      | 270/781 [00:13<00:26, 19.62it/s]
 35%|###4      | 272/781 [00:14<00:25, 19.65it/s]
 35%|###5      | 274/781 [00:14<00:25, 19.67it/s]
 35%|###5      | 276/781 [00:14<00:25, 19.57it/s]
 36%|###5      | 278/781 [00:14<00:25, 19.55it/s]
 36%|###5      | 280/781 [00:14<00:25, 19.56it/s]
 36%|###6      | 282/781 [00:14<00:25, 19.60it/s]
 36%|###6      | 284/781 [00:14<00:25, 19.63it/s]
 37%|###6      | 286/781 [00:14<00:25, 19.64it/s]
 37%|###6      | 288/781 [00:14<00:25, 19.62it/s]
 37%|###7      | 290/781 [00:14<00:24, 19.65it/s]
 37%|###7      | 292/781 [00:15<00:24, 19.66it/s]
 38%|###7      | 294/781 [00:15<00:24, 19.68it/s]
 38%|###7      | 296/781 [00:15<00:24, 19.69it/s]
 38%|###8      | 298/781 [00:15<00:24, 19.69it/s]
 38%|###8      | 300/781 [00:15<00:24, 19.68it/s]
 39%|###8      | 302/781 [00:15<00:24, 19.65it/s]
 39%|###8      | 304/781 [00:15<00:24, 19.64it/s]
 39%|###9      | 306/781 [00:15<00:24, 19.65it/s]
 39%|###9      | 308/781 [00:15<00:24, 19.64it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.62it/s]
 40%|###9      | 312/781 [00:16<00:23, 19.61it/s]
 40%|####      | 314/781 [00:16<00:23, 19.61it/s]
 40%|####      | 316/781 [00:16<00:23, 19.62it/s]
 41%|####      | 318/781 [00:16<00:23, 19.61it/s]
 41%|####      | 320/781 [00:16<00:23, 19.59it/s]
 41%|####1     | 322/781 [00:16<00:23, 19.59it/s]
 41%|####1     | 324/781 [00:16<00:23, 19.61it/s]
 42%|####1     | 326/781 [00:16<00:23, 19.62it/s]
 42%|####1     | 328/781 [00:16<00:23, 19.61it/s]
 42%|####2     | 330/781 [00:17<00:22, 19.65it/s]
 43%|####2     | 332/781 [00:17<00:22, 19.67it/s]
 43%|####2     | 334/781 [00:17<00:22, 19.65it/s]
 43%|####3     | 336/781 [00:17<00:23, 19.32it/s]
 43%|####3     | 338/781 [00:17<00:22, 19.38it/s]
 44%|####3     | 340/781 [00:17<00:22, 19.31it/s]
 44%|####3     | 342/781 [00:17<00:22, 19.35it/s]
 44%|####4     | 344/781 [00:17<00:22, 19.37it/s]
 44%|####4     | 346/781 [00:17<00:22, 19.34it/s]
 45%|####4     | 348/781 [00:17<00:22, 19.33it/s]
 45%|####4     | 350/781 [00:18<00:22, 19.20it/s]
 45%|####5     | 352/781 [00:18<00:22, 19.25it/s]
 45%|####5     | 354/781 [00:18<00:22, 19.19it/s]
 46%|####5     | 356/781 [00:18<00:22, 19.07it/s]
 46%|####5     | 358/781 [00:18<00:22, 19.00it/s]
 46%|####6     | 360/781 [00:18<00:22, 19.05it/s]
 46%|####6     | 362/781 [00:18<00:22, 18.97it/s]
 47%|####6     | 364/781 [00:18<00:21, 19.08it/s]
 47%|####6     | 366/781 [00:18<00:21, 19.10it/s]
 47%|####7     | 368/781 [00:19<00:21, 19.09it/s]
 47%|####7     | 370/781 [00:19<00:21, 19.10it/s]
 48%|####7     | 372/781 [00:19<00:21, 19.12it/s]
 48%|####7     | 374/781 [00:19<00:21, 19.04it/s]
 48%|####8     | 376/781 [00:19<00:21, 19.03it/s]
 48%|####8     | 378/781 [00:19<00:21, 18.97it/s]
 49%|####8     | 380/781 [00:19<00:21, 18.99it/s]
 49%|####8     | 382/781 [00:19<00:21, 18.96it/s]
 49%|####9     | 384/781 [00:19<00:20, 19.19it/s]
 49%|####9     | 386/781 [00:19<00:20, 19.32it/s]
 50%|####9     | 388/781 [00:20<00:20, 19.38it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.42it/s]
 50%|#####     | 392/781 [00:20<00:19, 19.47it/s]
 50%|#####     | 394/781 [00:20<00:19, 19.42it/s]
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100%|##########| 781/781 [00:40<00:00, 19.23it/s]




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Validation Progress:  57%|#####6    | 25/44 [00:26<00:21,  1.15s/it]
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Validation Progress:  57%|#####6    | 25/44 [00:27<00:21,  1.16s/it]
Validation Progress:  59%|#####9    | 26/44 [00:28<00:20,  1.14s/it]
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Validation Progress:  61%|######1   | 27/44 [00:29<00:19,  1.14s/it]
Validation Progress:  61%|######1   | 27/44 [00:29<00:19,  1.13s/it]
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Validation Progress:  64%|######3   | 28/44 [00:30<00:18,  1.13s/it]
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Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
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Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.12s/it]
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Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.12s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.12s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.12s/it]
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Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.10s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
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Validation Progress:  75%|#######5  | 33/44 [00:35<00:11,  1.09s/it]
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Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
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Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
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Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.21s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.21s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.21s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.21s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
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Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
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Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
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Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
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Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
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Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
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Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00it/s]
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Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

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100%|##########| 157/157 [00:09<00:00, 17.17it/s]

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 22%|##1       | 170/781 [00:09<00:32, 18.56it/s]
 22%|##2       | 172/781 [00:09<00:32, 18.56it/s]
 22%|##2       | 174/781 [00:09<00:32, 18.56it/s]
 23%|##2       | 176/781 [00:09<00:32, 18.56it/s]
 23%|##2       | 178/781 [00:09<00:32, 18.53it/s]
 23%|##3       | 180/781 [00:09<00:32, 18.49it/s]
 23%|##3       | 182/781 [00:09<00:32, 18.48it/s]
 24%|##3       | 184/781 [00:09<00:32, 18.49it/s]
 24%|##3       | 186/781 [00:09<00:32, 18.50it/s]
 24%|##4       | 188/781 [00:09<00:32, 18.48it/s]
 24%|##4       | 190/781 [00:10<00:32, 18.45it/s]
 25%|##4       | 192/781 [00:10<00:32, 18.33it/s]
 25%|##4       | 194/781 [00:10<00:32, 18.15it/s]
 25%|##5       | 196/781 [00:10<00:32, 18.09it/s]
 25%|##5       | 198/781 [00:10<00:32, 18.05it/s]
 26%|##5       | 200/781 [00:10<00:32, 18.08it/s]
 26%|##5       | 202/781 [00:10<00:32, 18.05it/s]
 26%|##6       | 204/781 [00:10<00:31, 18.17it/s]
 26%|##6       | 206/781 [00:10<00:31, 18.19it/s]
 27%|##6       | 208/781 [00:11<00:31, 18.16it/s]
 27%|##6       | 210/781 [00:11<00:31, 18.07it/s]
 27%|##7       | 212/781 [00:11<00:31, 18.00it/s]
 27%|##7       | 214/781 [00:11<00:31, 17.99it/s]
 28%|##7       | 216/781 [00:11<00:31, 17.97it/s]
 28%|##7       | 218/781 [00:11<00:31, 17.94it/s]
 28%|##8       | 220/781 [00:11<00:31, 17.97it/s]
 28%|##8       | 222/781 [00:11<00:31, 17.92it/s]
 29%|##8       | 224/781 [00:11<00:31, 17.94it/s]
 29%|##8       | 226/781 [00:12<00:30, 17.97it/s]
 29%|##9       | 228/781 [00:12<00:30, 17.96it/s]
 29%|##9       | 230/781 [00:12<00:30, 17.99it/s]
 30%|##9       | 232/781 [00:12<00:30, 17.99it/s]
 30%|##9       | 234/781 [00:12<00:30, 18.07it/s]
 30%|###       | 236/781 [00:12<00:30, 18.04it/s]
 30%|###       | 238/781 [00:12<00:30, 18.00it/s]
 31%|###       | 240/781 [00:12<00:30, 18.03it/s]
 31%|###       | 242/781 [00:12<00:29, 18.03it/s]
 31%|###1      | 244/781 [00:13<00:29, 18.17it/s]
 31%|###1      | 246/781 [00:13<00:29, 18.25it/s]
 32%|###1      | 248/781 [00:13<00:29, 18.30it/s]
 32%|###2      | 250/781 [00:13<00:28, 18.36it/s]
 32%|###2      | 252/781 [00:13<00:28, 18.35it/s]
 33%|###2      | 254/781 [00:13<00:28, 18.37it/s]
 33%|###2      | 256/781 [00:13<00:28, 18.40it/s]
 33%|###3      | 258/781 [00:13<00:28, 18.46it/s]
 33%|###3      | 260/781 [00:13<00:28, 18.44it/s]
 34%|###3      | 262/781 [00:14<00:28, 18.38it/s]
 34%|###3      | 264/781 [00:14<00:28, 18.42it/s]
 34%|###4      | 266/781 [00:14<00:27, 18.44it/s]
 34%|###4      | 268/781 [00:14<00:27, 18.43it/s]
 35%|###4      | 270/781 [00:14<00:27, 18.48it/s]
 35%|###4      | 272/781 [00:14<00:27, 18.49it/s]
 35%|###5      | 274/781 [00:14<00:27, 18.51it/s]
 35%|###5      | 276/781 [00:14<00:27, 18.50it/s]
 36%|###5      | 278/781 [00:14<00:27, 18.52it/s]
 36%|###5      | 280/781 [00:15<00:27, 18.52it/s]
 36%|###6      | 282/781 [00:15<00:26, 18.50it/s]
 36%|###6      | 284/781 [00:15<00:27, 18.37it/s]
 37%|###6      | 286/781 [00:15<00:27, 18.24it/s]
 37%|###6      | 288/781 [00:15<00:27, 18.18it/s]
 37%|###7      | 290/781 [00:15<00:26, 18.19it/s]
 37%|###7      | 292/781 [00:15<00:26, 18.14it/s]
 38%|###7      | 294/781 [00:15<00:26, 18.09it/s]
 38%|###7      | 296/781 [00:15<00:26, 18.11it/s]
 38%|###8      | 298/781 [00:16<00:26, 18.07it/s]
 38%|###8      | 300/781 [00:16<00:26, 18.07it/s]
 39%|###8      | 302/781 [00:16<00:26, 18.05it/s]
 39%|###8      | 304/781 [00:16<00:26, 17.84it/s]
 39%|###9      | 306/781 [00:16<00:26, 17.89it/s]
 39%|###9      | 308/781 [00:16<00:26, 17.82it/s]
 40%|###9      | 310/781 [00:16<00:26, 17.80it/s]
 40%|###9      | 312/781 [00:16<00:26, 17.83it/s]
 40%|####      | 314/781 [00:16<00:26, 17.86it/s]
 40%|####      | 316/781 [00:17<00:25, 18.03it/s]
 41%|####      | 318/781 [00:17<00:25, 18.09it/s]
 41%|####      | 320/781 [00:17<00:25, 18.11it/s]
 41%|####1     | 322/781 [00:17<00:25, 18.12it/s]
 41%|####1     | 324/781 [00:17<00:25, 18.21it/s]
 42%|####1     | 326/781 [00:17<00:24, 18.41it/s]
 42%|####1     | 328/781 [00:17<00:24, 18.42it/s]
 42%|####2     | 330/781 [00:17<00:24, 18.52it/s]
 43%|####2     | 332/781 [00:17<00:24, 18.67it/s]
 43%|####2     | 334/781 [00:18<00:24, 18.61it/s]
 43%|####3     | 336/781 [00:18<00:24, 18.50it/s]
 43%|####3     | 338/781 [00:18<00:23, 18.48it/s]
 44%|####3     | 340/781 [00:18<00:23, 18.64it/s]
 44%|####3     | 342/781 [00:18<00:23, 18.74it/s]
 44%|####4     | 344/781 [00:18<00:23, 18.61it/s]
 44%|####4     | 346/781 [00:18<00:23, 18.71it/s]
 45%|####4     | 348/781 [00:18<00:23, 18.77it/s]
 45%|####4     | 350/781 [00:18<00:22, 19.00it/s]
 45%|####5     | 352/781 [00:18<00:22, 19.01it/s]
 45%|####5     | 354/781 [00:19<00:22, 18.98it/s]
 46%|####5     | 356/781 [00:19<00:22, 18.81it/s]
 46%|####5     | 358/781 [00:19<00:22, 18.68it/s]
 46%|####6     | 360/781 [00:19<00:22, 18.60it/s]
 46%|####6     | 362/781 [00:19<00:22, 18.53it/s]
 47%|####6     | 364/781 [00:19<00:22, 18.67it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.73it/s]
 47%|####7     | 368/781 [00:19<00:21, 18.99it/s]
 47%|####7     | 370/781 [00:19<00:21, 18.80it/s]
 48%|####7     | 372/781 [00:20<00:21, 19.06it/s]
 48%|####7     | 374/781 [00:20<00:21, 18.84it/s]
 48%|####8     | 376/781 [00:20<00:21, 18.71it/s]
 48%|####8     | 378/781 [00:20<00:21, 18.63it/s]
 49%|####8     | 380/781 [00:20<00:21, 18.75it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.64it/s]
 49%|####9     | 384/781 [00:20<00:21, 18.74it/s]
 49%|####9     | 386/781 [00:20<00:21, 18.80it/s]
 50%|####9     | 388/781 [00:20<00:20, 18.88it/s]
 50%|####9     | 390/781 [00:20<00:20, 18.75it/s]
 50%|#####     | 392/781 [00:21<00:20, 18.84it/s]
 50%|#####     | 394/781 [00:21<00:20, 18.71it/s]
 51%|#####     | 396/781 [00:21<00:20, 18.80it/s]
 51%|#####     | 398/781 [00:21<00:20, 18.88it/s]
 51%|#####1    | 400/781 [00:21<00:20, 18.74it/s]
 51%|#####1    | 402/781 [00:21<00:20, 18.82it/s]
 52%|#####1    | 404/781 [00:21<00:19, 19.06it/s]
 52%|#####1    | 406/781 [00:21<00:19, 19.08it/s]
 52%|#####2    | 408/781 [00:21<00:19, 18.85it/s]
 52%|#####2    | 410/781 [00:22<00:19, 18.71it/s]
 53%|#####2    | 412/781 [00:22<00:19, 18.63it/s]
 53%|#####3    | 414/781 [00:22<00:19, 18.93it/s]
 53%|#####3    | 416/781 [00:22<00:19, 18.75it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.68it/s]
 54%|#####3    | 420/781 [00:22<00:19, 18.99it/s]
 54%|#####4    | 422/781 [00:22<00:19, 18.82it/s]
 54%|#####4    | 424/781 [00:22<00:18, 18.87it/s]
 55%|#####4    | 426/781 [00:22<00:18, 19.12it/s]
 55%|#####4    | 428/781 [00:23<00:18, 18.88it/s]
 55%|#####5    | 430/781 [00:23<00:18, 18.91it/s]
 55%|#####5    | 432/781 [00:23<00:18, 18.77it/s]
 56%|#####5    | 434/781 [00:23<00:18, 18.85it/s]
 56%|#####5    | 436/781 [00:23<00:18, 18.72it/s]
 56%|#####6    | 438/781 [00:23<00:18, 18.59it/s]
 56%|#####6    | 440/781 [00:23<00:18, 18.40it/s]
 57%|#####6    | 442/781 [00:23<00:18, 18.27it/s]
 57%|#####6    | 444/781 [00:23<00:18, 18.21it/s]
 57%|#####7    | 446/781 [00:23<00:18, 18.28it/s]
 57%|#####7    | 448/781 [00:24<00:18, 18.32it/s]
 58%|#####7    | 450/781 [00:24<00:17, 18.39it/s]
 58%|#####7    | 452/781 [00:24<00:17, 18.39it/s]
 58%|#####8    | 454/781 [00:24<00:17, 18.41it/s]
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 59%|#####8    | 458/781 [00:24<00:17, 18.39it/s]
 59%|#####8    | 460/781 [00:24<00:17, 18.39it/s]
 59%|#####9    | 462/781 [00:24<00:17, 18.38it/s]
 59%|#####9    | 464/781 [00:24<00:17, 18.43it/s]
 60%|#####9    | 466/781 [00:25<00:17, 18.44it/s]
 60%|#####9    | 468/781 [00:25<00:16, 18.45it/s]
 60%|######    | 470/781 [00:25<00:16, 18.39it/s]
 60%|######    | 472/781 [00:25<00:16, 18.41it/s]
 61%|######    | 474/781 [00:25<00:16, 18.42it/s]
 61%|######    | 476/781 [00:25<00:16, 18.37it/s]
 61%|######1   | 478/781 [00:25<00:16, 18.43it/s]
 61%|######1   | 480/781 [00:25<00:16, 18.42it/s]
 62%|######1   | 482/781 [00:25<00:16, 18.30it/s]
 62%|######1   | 484/781 [00:26<00:16, 18.23it/s]
 62%|######2   | 486/781 [00:26<00:16, 18.08it/s]
 62%|######2   | 488/781 [00:26<00:16, 18.18it/s]
 63%|######2   | 490/781 [00:26<00:15, 18.23it/s]
 63%|######2   | 492/781 [00:26<00:15, 18.26it/s]
 63%|######3   | 494/781 [00:26<00:15, 18.29it/s]
 64%|######3   | 496/781 [00:26<00:15, 18.28it/s]
 64%|######3   | 498/781 [00:26<00:15, 18.27it/s]
 64%|######4   | 500/781 [00:26<00:15, 18.25it/s]
 64%|######4   | 502/781 [00:27<00:15, 18.03it/s]
 65%|######4   | 504/781 [00:27<00:15, 17.90it/s]
 65%|######4   | 506/781 [00:27<00:15, 17.88it/s]
 65%|######5   | 508/781 [00:27<00:15, 17.99it/s]
 65%|######5   | 510/781 [00:27<00:14, 18.19it/s]
 66%|######5   | 512/781 [00:27<00:14, 18.48it/s]
 66%|######5   | 514/781 [00:27<00:14, 18.60it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.74it/s]
 66%|######6   | 518/781 [00:27<00:13, 18.84it/s]
 67%|######6   | 520/781 [00:28<00:13, 18.89it/s]
 67%|######6   | 522/781 [00:28<00:13, 18.78it/s]
 67%|######7   | 524/781 [00:28<00:13, 18.69it/s]
 67%|######7   | 526/781 [00:28<00:13, 18.73it/s]
 68%|######7   | 528/781 [00:28<00:13, 18.75it/s]
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 69%|######8   | 536/781 [00:28<00:12, 18.87it/s]
 69%|######8   | 538/781 [00:28<00:12, 18.86it/s]
 69%|######9   | 540/781 [00:29<00:12, 18.96it/s]
 69%|######9   | 542/781 [00:29<00:12, 19.09it/s]
 70%|######9   | 544/781 [00:29<00:12, 19.22it/s]
 70%|######9   | 546/781 [00:29<00:12, 19.28it/s]
 70%|#######   | 548/781 [00:29<00:12, 19.32it/s]
 70%|#######   | 550/781 [00:29<00:11, 19.36it/s]
 71%|#######   | 552/781 [00:29<00:11, 19.37it/s]
 71%|#######   | 554/781 [00:29<00:11, 19.40it/s]
 71%|#######1  | 556/781 [00:29<00:11, 19.44it/s]
 71%|#######1  | 558/781 [00:29<00:11, 19.46it/s]
 72%|#######1  | 560/781 [00:30<00:11, 19.45it/s]
 72%|#######1  | 562/781 [00:30<00:11, 19.43it/s]
 72%|#######2  | 564/781 [00:30<00:11, 19.44it/s]
 72%|#######2  | 566/781 [00:30<00:11, 19.45it/s]
 73%|#######2  | 568/781 [00:30<00:10, 19.45it/s]
 73%|#######2  | 570/781 [00:30<00:10, 19.44it/s]
 73%|#######3  | 572/781 [00:30<00:10, 19.38it/s]
 73%|#######3  | 574/781 [00:30<00:10, 19.39it/s]
 74%|#######3  | 576/781 [00:30<00:10, 19.31it/s]
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 74%|#######4  | 580/781 [00:31<00:10, 19.36it/s]
 75%|#######4  | 582/781 [00:31<00:10, 19.37it/s]
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 75%|#######5  | 586/781 [00:31<00:10, 19.40it/s]
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 76%|#######5  | 590/781 [00:31<00:09, 19.44it/s]
 76%|#######5  | 592/781 [00:31<00:09, 19.46it/s]
 76%|#######6  | 594/781 [00:31<00:09, 19.39it/s]
 76%|#######6  | 596/781 [00:31<00:09, 19.28it/s]
 77%|#######6  | 598/781 [00:32<00:09, 19.23it/s]
 77%|#######6  | 600/781 [00:32<00:09, 19.24it/s]
 77%|#######7  | 602/781 [00:32<00:09, 19.24it/s]
 77%|#######7  | 604/781 [00:32<00:09, 19.27it/s]
 78%|#######7  | 606/781 [00:32<00:09, 19.33it/s]
 78%|#######7  | 608/781 [00:32<00:08, 19.35it/s]
 78%|#######8  | 610/781 [00:32<00:08, 19.34it/s]
 78%|#######8  | 612/781 [00:32<00:08, 19.36it/s]
 79%|#######8  | 614/781 [00:32<00:08, 19.37it/s]
 79%|#######8  | 616/781 [00:32<00:08, 19.41it/s]
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 80%|#######9  | 622/781 [00:33<00:08, 19.26it/s]
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 80%|########  | 626/781 [00:33<00:08, 19.31it/s]
 80%|########  | 628/781 [00:33<00:07, 19.15it/s]
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 91%|#########1| 712/781 [00:38<00:03, 19.18it/s]
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 93%|#########3| 728/781 [00:38<00:02, 19.07it/s]
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 94%|#########4| 736/781 [00:39<00:02, 19.18it/s]
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100%|#########9| 780/781 [00:41<00:00, 19.24it/s]
100%|##########| 781/781 [00:41<00:00, 18.78it/s]




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 70%|#######   | 110/157 [00:06<00:02, 17.02it/s]
 71%|#######1  | 112/157 [00:06<00:02, 16.83it/s]
 73%|#######2  | 114/157 [00:06<00:02, 16.65it/s]
 74%|#######3  | 116/157 [00:06<00:02, 16.52it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.90it/s]
 76%|#######6  | 120/157 [00:07<00:02, 17.08it/s]
 78%|#######7  | 122/157 [00:07<00:02, 17.10it/s]
 79%|#######8  | 124/157 [00:07<00:01, 17.12it/s]
 80%|########  | 126/157 [00:07<00:01, 16.84it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.65it/s]
 83%|########2 | 130/157 [00:07<00:01, 16.52it/s]
 84%|########4 | 132/157 [00:07<00:01, 16.39it/s]
 85%|########5 | 134/157 [00:07<00:01, 16.58it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.42it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.48it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.47it/s]
 90%|######### | 142/157 [00:08<00:00, 16.83it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.88it/s]
 93%|#########2| 146/157 [00:08<00:00, 17.05it/s]
 94%|#########4| 148/157 [00:08<00:00, 17.25it/s]
 96%|#########5| 150/157 [00:08<00:00, 17.01it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.64it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.65it/s]
 99%|#########9| 156/157 [00:09<00:00, 17.07it/s]
100%|##########| 157/157 [00:09<00:00, 16.84it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:45, 17.00it/s]
  1%|          | 5/781 [00:00<00:40, 19.23it/s]
  1%|1         | 8/781 [00:00<00:38, 19.97it/s]
  1%|1         | 11/781 [00:00<00:38, 19.81it/s]
  2%|1         | 13/781 [00:00<00:38, 19.84it/s]
  2%|1         | 15/781 [00:00<00:39, 19.20it/s]
  2%|2         | 17/781 [00:00<00:40, 18.80it/s]
  2%|2         | 19/781 [00:00<00:40, 18.67it/s]
  3%|2         | 21/781 [00:01<00:41, 18.42it/s]
  3%|2         | 23/781 [00:01<00:41, 18.28it/s]
  3%|3         | 25/781 [00:01<00:41, 18.41it/s]
  3%|3         | 27/781 [00:01<00:41, 18.29it/s]
  4%|3         | 29/781 [00:01<00:41, 18.19it/s]
  4%|3         | 31/781 [00:01<00:41, 18.15it/s]
  4%|4         | 33/781 [00:01<00:41, 18.12it/s]
  4%|4         | 35/781 [00:01<00:41, 17.92it/s]
  5%|4         | 37/781 [00:01<00:41, 17.82it/s]
  5%|4         | 39/781 [00:02<00:41, 17.82it/s]
  5%|5         | 41/781 [00:02<00:41, 17.63it/s]
  6%|5         | 43/781 [00:02<00:41, 17.81it/s]
  6%|5         | 45/781 [00:02<00:41, 17.91it/s]
  6%|6         | 47/781 [00:02<00:40, 18.00it/s]
  6%|6         | 49/781 [00:02<00:40, 18.07it/s]
  7%|6         | 51/781 [00:02<00:40, 18.07it/s]
  7%|6         | 53/781 [00:02<00:40, 17.98it/s]
  7%|7         | 55/781 [00:02<00:40, 18.05it/s]
  7%|7         | 57/781 [00:03<00:40, 18.00it/s]
  8%|7         | 59/781 [00:03<00:40, 18.00it/s]
  8%|7         | 61/781 [00:03<00:40, 17.91it/s]
  8%|8         | 63/781 [00:03<00:40, 17.76it/s]
  8%|8         | 65/781 [00:03<00:40, 17.85it/s]
  9%|8         | 67/781 [00:03<00:40, 17.85it/s]
  9%|8         | 69/781 [00:03<00:39, 17.85it/s]
  9%|9         | 71/781 [00:03<00:39, 17.77it/s]
  9%|9         | 73/781 [00:04<00:39, 17.83it/s]
 10%|9         | 75/781 [00:04<00:39, 17.94it/s]
 10%|9         | 77/781 [00:04<00:39, 17.98it/s]
 10%|#         | 79/781 [00:04<00:38, 18.09it/s]
 10%|#         | 81/781 [00:04<00:38, 18.15it/s]
 11%|#         | 83/781 [00:04<00:38, 18.16it/s]
 11%|#         | 85/781 [00:04<00:38, 18.05it/s]
 11%|#1        | 88/781 [00:04<00:36, 18.81it/s]
 12%|#1        | 91/781 [00:04<00:35, 19.21it/s]
 12%|#1        | 93/781 [00:05<00:35, 19.37it/s]
 12%|#2        | 96/781 [00:05<00:34, 19.68it/s]
 13%|#2        | 98/781 [00:05<00:35, 19.18it/s]
 13%|#2        | 100/781 [00:05<00:35, 19.24it/s]
 13%|#3        | 102/781 [00:05<00:35, 19.31it/s]
 13%|#3        | 105/781 [00:05<00:34, 19.75it/s]
 14%|#3        | 108/781 [00:05<00:33, 20.14it/s]
 14%|#4        | 111/781 [00:05<00:33, 20.10it/s]
 15%|#4        | 114/781 [00:06<00:33, 20.12it/s]
 15%|#4        | 117/781 [00:06<00:33, 20.06it/s]
 15%|#5        | 120/781 [00:06<00:32, 20.20it/s]
 16%|#5        | 123/781 [00:06<00:32, 20.35it/s]
 16%|#6        | 126/781 [00:06<00:32, 20.41it/s]
 17%|#6        | 129/781 [00:06<00:32, 20.35it/s]
 17%|#6        | 132/781 [00:07<00:31, 20.30it/s]
 17%|#7        | 135/781 [00:07<00:31, 20.27it/s]
 18%|#7        | 138/781 [00:07<00:31, 20.37it/s]
 18%|#8        | 141/781 [00:07<00:31, 20.43it/s]
 18%|#8        | 144/781 [00:07<00:31, 20.37it/s]
 19%|#8        | 147/781 [00:07<00:31, 20.23it/s]
 19%|#9        | 150/781 [00:07<00:31, 20.33it/s]
 20%|#9        | 153/781 [00:08<00:30, 20.47it/s]
 20%|#9        | 156/781 [00:08<00:30, 20.41it/s]
 20%|##        | 159/781 [00:08<00:30, 20.46it/s]
 21%|##        | 162/781 [00:08<00:30, 20.22it/s]
 21%|##1       | 165/781 [00:08<00:31, 19.74it/s]
 21%|##1       | 167/781 [00:08<00:31, 19.37it/s]
 22%|##1       | 169/781 [00:08<00:31, 19.28it/s]
 22%|##2       | 172/781 [00:09<00:31, 19.55it/s]
 22%|##2       | 175/781 [00:09<00:30, 19.88it/s]
 23%|##2       | 178/781 [00:09<00:29, 20.13it/s]
 23%|##3       | 181/781 [00:09<00:29, 20.10it/s]
 24%|##3       | 184/781 [00:09<00:30, 19.81it/s]
 24%|##3       | 186/781 [00:09<00:29, 19.85it/s]
 24%|##4       | 189/781 [00:09<00:29, 20.10it/s]
 25%|##4       | 192/781 [00:09<00:28, 20.32it/s]
 25%|##4       | 195/781 [00:10<00:28, 20.34it/s]
 25%|##5       | 198/781 [00:10<00:28, 20.25it/s]
 26%|##5       | 201/781 [00:10<00:28, 20.34it/s]
 26%|##6       | 204/781 [00:10<00:28, 20.48it/s]
 27%|##6       | 207/781 [00:10<00:27, 20.54it/s]
 27%|##6       | 210/781 [00:10<00:28, 20.27it/s]
 27%|##7       | 213/781 [00:11<00:28, 19.86it/s]
 28%|##7       | 215/781 [00:11<00:28, 19.61it/s]
 28%|##7       | 217/781 [00:11<00:28, 19.53it/s]
 28%|##8       | 219/781 [00:11<00:28, 19.52it/s]
 28%|##8       | 221/781 [00:11<00:28, 19.60it/s]
 29%|##8       | 223/781 [00:11<00:28, 19.54it/s]
 29%|##8       | 225/781 [00:11<00:29, 18.96it/s]
 29%|##9       | 227/781 [00:11<00:29, 18.53it/s]
 29%|##9       | 229/781 [00:11<00:30, 18.34it/s]
 30%|##9       | 231/781 [00:12<00:30, 18.17it/s]
 30%|##9       | 233/781 [00:12<00:30, 18.00it/s]
 30%|###       | 235/781 [00:12<00:30, 17.73it/s]
 30%|###       | 237/781 [00:12<00:30, 17.68it/s]
 31%|###       | 239/781 [00:12<00:30, 17.61it/s]
 31%|###       | 241/781 [00:12<00:30, 17.57it/s]
 31%|###1      | 243/781 [00:12<00:30, 17.89it/s]
 31%|###1      | 245/781 [00:12<00:30, 17.82it/s]
 32%|###1      | 247/781 [00:12<00:30, 17.70it/s]
 32%|###1      | 249/781 [00:13<00:30, 17.65it/s]
 32%|###2      | 251/781 [00:13<00:29, 17.81it/s]
 32%|###2      | 253/781 [00:13<00:29, 17.83it/s]
 33%|###2      | 255/781 [00:13<00:29, 17.88it/s]
 33%|###2      | 257/781 [00:13<00:29, 18.04it/s]
 33%|###3      | 259/781 [00:13<00:28, 18.10it/s]
 33%|###3      | 261/781 [00:13<00:28, 18.18it/s]
 34%|###3      | 263/781 [00:13<00:28, 18.23it/s]
 34%|###3      | 265/781 [00:13<00:28, 18.22it/s]
 34%|###4      | 267/781 [00:14<00:28, 18.19it/s]
 34%|###4      | 269/781 [00:14<00:28, 18.07it/s]
 35%|###4      | 271/781 [00:14<00:28, 18.01it/s]
 35%|###4      | 273/781 [00:14<00:28, 17.95it/s]
 35%|###5      | 275/781 [00:14<00:28, 17.76it/s]
 35%|###5      | 277/781 [00:14<00:28, 17.72it/s]
 36%|###5      | 279/781 [00:14<00:38, 12.95it/s]
 36%|###5      | 281/781 [00:14<00:35, 14.05it/s]
 36%|###6      | 283/781 [00:15<00:33, 15.08it/s]
 36%|###6      | 285/781 [00:15<00:31, 15.78it/s]
 37%|###6      | 287/781 [00:15<00:30, 16.31it/s]
 37%|###7      | 289/781 [00:15<00:29, 16.56it/s]
 37%|###7      | 291/781 [00:15<00:28, 17.05it/s]
 38%|###7      | 293/781 [00:15<00:27, 17.43it/s]
 38%|###7      | 295/781 [00:15<00:27, 17.58it/s]
 38%|###8      | 297/781 [00:15<00:27, 17.65it/s]
 38%|###8      | 299/781 [00:15<00:27, 17.47it/s]
 39%|###8      | 301/781 [00:16<00:27, 17.48it/s]
 39%|###8      | 303/781 [00:16<00:27, 17.57it/s]
 39%|###9      | 305/781 [00:16<00:26, 17.75it/s]
 39%|###9      | 307/781 [00:16<00:26, 17.90it/s]
 40%|###9      | 309/781 [00:16<00:26, 18.02it/s]
 40%|###9      | 311/781 [00:16<00:26, 17.93it/s]
 40%|####      | 313/781 [00:16<00:25, 18.07it/s]
 40%|####      | 315/781 [00:16<00:25, 18.15it/s]
 41%|####      | 317/781 [00:16<00:25, 18.21it/s]
 41%|####      | 319/781 [00:17<00:25, 18.27it/s]
 41%|####1     | 321/781 [00:17<00:25, 18.32it/s]
 41%|####1     | 323/781 [00:17<00:24, 18.33it/s]
 42%|####1     | 325/781 [00:17<00:24, 18.36it/s]
 42%|####1     | 327/781 [00:17<00:24, 18.34it/s]
 42%|####2     | 329/781 [00:17<00:24, 18.28it/s]
 42%|####2     | 331/781 [00:17<00:25, 17.94it/s]
 43%|####2     | 333/781 [00:17<00:24, 18.03it/s]
 43%|####2     | 335/781 [00:17<00:24, 18.12it/s]
 43%|####3     | 337/781 [00:18<00:24, 18.12it/s]
 43%|####3     | 339/781 [00:18<00:24, 18.03it/s]
 44%|####3     | 341/781 [00:18<00:24, 17.94it/s]
 44%|####3     | 343/781 [00:18<00:24, 18.02it/s]
 44%|####4     | 345/781 [00:18<00:24, 18.03it/s]
 44%|####4     | 347/781 [00:18<00:23, 18.13it/s]
 45%|####4     | 349/781 [00:18<00:23, 18.02it/s]
 45%|####4     | 351/781 [00:18<00:23, 18.09it/s]
 45%|####5     | 353/781 [00:18<00:23, 17.99it/s]
 45%|####5     | 355/781 [00:19<00:23, 17.94it/s]
 46%|####5     | 357/781 [00:19<00:23, 18.05it/s]
 46%|####5     | 359/781 [00:19<00:23, 18.13it/s]
 46%|####6     | 361/781 [00:19<00:23, 17.99it/s]
 46%|####6     | 363/781 [00:19<00:23, 17.97it/s]
 47%|####6     | 365/781 [00:19<00:22, 18.13it/s]
 47%|####6     | 367/781 [00:19<00:22, 18.18it/s]
 47%|####7     | 369/781 [00:19<00:22, 18.23it/s]
 48%|####7     | 371/781 [00:19<00:22, 18.22it/s]
 48%|####7     | 373/781 [00:20<00:22, 18.24it/s]
 48%|####8     | 375/781 [00:20<00:22, 18.27it/s]
 48%|####8     | 377/781 [00:20<00:22, 18.32it/s]
 49%|####8     | 379/781 [00:20<00:22, 18.14it/s]
 49%|####8     | 381/781 [00:20<00:22, 18.07it/s]
 49%|####9     | 383/781 [00:20<00:21, 18.18it/s]
 49%|####9     | 385/781 [00:20<00:21, 18.03it/s]
 50%|####9     | 387/781 [00:20<00:21, 17.95it/s]
 50%|####9     | 389/781 [00:20<00:21, 18.04it/s]
 50%|#####     | 391/781 [00:21<00:21, 18.11it/s]
 50%|#####     | 393/781 [00:21<00:21, 18.09it/s]
 51%|#####     | 395/781 [00:21<00:21, 18.13it/s]
 51%|#####     | 397/781 [00:21<00:21, 18.19it/s]
 51%|#####1    | 399/781 [00:21<00:21, 18.18it/s]
 51%|#####1    | 401/781 [00:21<00:20, 18.12it/s]
 52%|#####1    | 403/781 [00:21<00:20, 18.09it/s]
 52%|#####1    | 405/781 [00:21<00:20, 17.96it/s]
 52%|#####2    | 407/781 [00:21<00:20, 17.94it/s]
 52%|#####2    | 409/781 [00:22<00:20, 17.87it/s]
 53%|#####2    | 411/781 [00:22<00:20, 17.76it/s]
 53%|#####2    | 413/781 [00:22<00:20, 17.86it/s]
 53%|#####3    | 415/781 [00:22<00:20, 17.76it/s]
 53%|#####3    | 417/781 [00:22<00:20, 17.63it/s]
 54%|#####3    | 419/781 [00:22<00:20, 17.79it/s]
 54%|#####3    | 421/781 [00:22<00:20, 17.85it/s]
 54%|#####4    | 423/781 [00:22<00:20, 17.85it/s]
 54%|#####4    | 425/781 [00:22<00:19, 17.84it/s]
 55%|#####4    | 427/781 [00:23<00:19, 17.81it/s]
 55%|#####4    | 429/781 [00:23<00:19, 17.79it/s]
 55%|#####5    | 431/781 [00:23<00:19, 17.75it/s]
 55%|#####5    | 433/781 [00:23<00:19, 17.53it/s]
 56%|#####5    | 435/781 [00:23<00:19, 17.67it/s]
 56%|#####5    | 437/781 [00:23<00:19, 17.85it/s]
 56%|#####6    | 439/781 [00:23<00:19, 17.87it/s]
 56%|#####6    | 441/781 [00:23<00:18, 18.00it/s]
 57%|#####6    | 443/781 [00:23<00:18, 17.92it/s]
 57%|#####6    | 445/781 [00:24<00:18, 17.99it/s]
 57%|#####7    | 447/781 [00:24<00:18, 18.13it/s]
 57%|#####7    | 449/781 [00:24<00:18, 18.19it/s]
 58%|#####7    | 451/781 [00:24<00:18, 18.26it/s]
 58%|#####8    | 453/781 [00:24<00:17, 18.24it/s]
 58%|#####8    | 455/781 [00:24<00:18, 18.00it/s]
 59%|#####8    | 457/781 [00:24<00:18, 17.91it/s]
 59%|#####8    | 459/781 [00:24<00:18, 17.82it/s]
 59%|#####9    | 461/781 [00:24<00:17, 17.86it/s]
 59%|#####9    | 463/781 [00:25<00:17, 17.89it/s]
 60%|#####9    | 465/781 [00:25<00:17, 18.03it/s]
 60%|#####9    | 467/781 [00:25<00:17, 17.97it/s]
 60%|######    | 469/781 [00:25<00:17, 18.07it/s]
 60%|######    | 471/781 [00:25<00:17, 17.98it/s]
 61%|######    | 473/781 [00:25<00:17, 17.95it/s]
 61%|######    | 475/781 [00:25<00:16, 18.01it/s]
 61%|######1   | 477/781 [00:25<00:17, 17.87it/s]
 61%|######1   | 479/781 [00:25<00:17, 17.60it/s]
 62%|######1   | 481/781 [00:26<00:16, 17.79it/s]
 62%|######1   | 483/781 [00:26<00:16, 17.89it/s]
 62%|######2   | 485/781 [00:26<00:16, 17.98it/s]
 62%|######2   | 487/781 [00:26<00:16, 18.07it/s]
 63%|######2   | 489/781 [00:26<00:16, 18.18it/s]
 63%|######2   | 491/781 [00:26<00:15, 18.22it/s]
 63%|######3   | 493/781 [00:26<00:15, 18.21it/s]
 63%|######3   | 495/781 [00:26<00:15, 18.05it/s]
 64%|######3   | 497/781 [00:26<00:15, 18.07it/s]
 64%|######3   | 499/781 [00:27<00:15, 18.05it/s]
 64%|######4   | 501/781 [00:27<00:15, 17.99it/s]
 64%|######4   | 503/781 [00:27<00:15, 18.00it/s]
 65%|######4   | 505/781 [00:27<00:15, 17.93it/s]
 65%|######4   | 507/781 [00:27<00:15, 18.00it/s]
 65%|######5   | 509/781 [00:27<00:14, 18.14it/s]
 65%|######5   | 511/781 [00:27<00:14, 18.17it/s]
 66%|######5   | 513/781 [00:27<00:14, 18.23it/s]
 66%|######5   | 515/781 [00:27<00:14, 18.21it/s]
 66%|######6   | 517/781 [00:28<00:14, 18.17it/s]
 66%|######6   | 519/781 [00:28<00:14, 18.25it/s]
 67%|######6   | 521/781 [00:28<00:14, 18.15it/s]
 67%|######6   | 523/781 [00:28<00:14, 18.19it/s]
 67%|######7   | 525/781 [00:28<00:14, 18.26it/s]
 67%|######7   | 527/781 [00:28<00:14, 17.92it/s]
 68%|######7   | 529/781 [00:28<00:14, 17.85it/s]
 68%|######7   | 531/781 [00:28<00:13, 17.86it/s]
 68%|######8   | 533/781 [00:28<00:13, 17.93it/s]
 69%|######8   | 535/781 [00:29<00:13, 17.95it/s]
 69%|######8   | 537/781 [00:29<00:13, 18.03it/s]
 69%|######9   | 539/781 [00:29<00:13, 18.11it/s]
 69%|######9   | 541/781 [00:29<00:13, 18.17it/s]
 70%|######9   | 543/781 [00:29<00:13, 18.22it/s]
 70%|######9   | 545/781 [00:29<00:12, 18.18it/s]
 70%|#######   | 547/781 [00:29<00:12, 18.22it/s]
 70%|#######   | 549/781 [00:29<00:12, 18.26it/s]
 71%|#######   | 551/781 [00:29<00:12, 18.26it/s]
 71%|#######   | 553/781 [00:30<00:12, 18.20it/s]
 71%|#######1  | 555/781 [00:30<00:12, 18.20it/s]
 71%|#######1  | 557/781 [00:30<00:12, 18.25it/s]
 72%|#######1  | 559/781 [00:30<00:12, 18.24it/s]
 72%|#######1  | 561/781 [00:30<00:12, 18.28it/s]
 72%|#######2  | 563/781 [00:30<00:11, 18.28it/s]
 72%|#######2  | 565/781 [00:30<00:11, 18.35it/s]
 73%|#######2  | 567/781 [00:30<00:11, 18.36it/s]
 73%|#######2  | 569/781 [00:30<00:11, 18.24it/s]
 73%|#######3  | 571/781 [00:31<00:11, 18.17it/s]
 73%|#######3  | 573/781 [00:31<00:11, 18.23it/s]
 74%|#######3  | 575/781 [00:31<00:11, 18.12it/s]
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Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.15s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.15s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.14s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.14s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.14s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.18s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.18s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.18s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.17s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.17s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.02it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.02it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.02it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:05<00:00,  5.30s/it]
100%|##########| 1/1 [00:05<00:00,  5.30s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:10, 14.10it/s]
  3%|2         | 4/157 [00:00<00:10, 14.23it/s]
  4%|3         | 6/157 [00:00<00:10, 14.58it/s]
  5%|5         | 8/157 [00:00<00:09, 15.61it/s]
  6%|6         | 10/157 [00:00<00:09, 16.31it/s]
  8%|7         | 12/157 [00:00<00:08, 16.73it/s]
  9%|8         | 14/157 [00:00<00:08, 16.77it/s]
 10%|#         | 16/157 [00:01<00:08, 16.47it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.30it/s]
 13%|#2        | 20/157 [00:01<00:08, 15.95it/s]
 14%|#4        | 22/157 [00:01<00:08, 15.86it/s]
 15%|#5        | 24/157 [00:01<00:08, 15.75it/s]
 17%|#6        | 26/157 [00:01<00:08, 15.67it/s]
 18%|#7        | 28/157 [00:01<00:08, 15.63it/s]
 19%|#9        | 30/157 [00:01<00:08, 15.69it/s]
 20%|##        | 32/157 [00:02<00:07, 15.71it/s]
 22%|##1       | 34/157 [00:02<00:07, 15.57it/s]
 23%|##2       | 36/157 [00:02<00:07, 15.67it/s]
 24%|##4       | 38/157 [00:02<00:07, 15.60it/s]
 25%|##5       | 40/157 [00:02<00:07, 15.44it/s]
 27%|##6       | 42/157 [00:02<00:07, 15.36it/s]
 28%|##8       | 44/157 [00:02<00:07, 15.51it/s]
 29%|##9       | 46/157 [00:02<00:07, 15.54it/s]
 31%|###       | 48/157 [00:03<00:06, 15.63it/s]
 32%|###1      | 50/157 [00:03<00:06, 15.84it/s]
 33%|###3      | 52/157 [00:03<00:06, 15.52it/s]
 34%|###4      | 54/157 [00:03<00:06, 15.18it/s]
 36%|###5      | 56/157 [00:03<00:06, 15.83it/s]
 37%|###6      | 58/157 [00:03<00:06, 16.35it/s]
 38%|###8      | 60/157 [00:03<00:05, 16.26it/s]
 39%|###9      | 62/157 [00:03<00:05, 16.35it/s]
 41%|####      | 64/157 [00:04<00:05, 16.35it/s]
 42%|####2     | 66/157 [00:04<00:05, 16.25it/s]
 43%|####3     | 68/157 [00:04<00:05, 16.09it/s]
 45%|####4     | 70/157 [00:04<00:05, 15.93it/s]
 46%|####5     | 72/157 [00:04<00:05, 15.94it/s]
 47%|####7     | 74/157 [00:04<00:05, 15.82it/s]
 48%|####8     | 76/157 [00:04<00:05, 15.67it/s]
 50%|####9     | 78/157 [00:04<00:05, 15.54it/s]
 51%|#####     | 80/157 [00:05<00:04, 15.64it/s]
 52%|#####2    | 82/157 [00:05<00:04, 15.68it/s]
 54%|#####3    | 84/157 [00:05<00:04, 15.69it/s]
 55%|#####4    | 86/157 [00:05<00:04, 15.63it/s]
 56%|#####6    | 88/157 [00:05<00:04, 15.51it/s]
 57%|#####7    | 90/157 [00:05<00:04, 15.54it/s]
 59%|#####8    | 92/157 [00:05<00:04, 15.61it/s]
 60%|#####9    | 94/157 [00:05<00:04, 15.56it/s]
 61%|######1   | 96/157 [00:06<00:03, 15.68it/s]
 62%|######2   | 98/157 [00:06<00:03, 15.62it/s]
 64%|######3   | 100/157 [00:06<00:03, 15.62it/s]
 65%|######4   | 102/157 [00:06<00:03, 15.72it/s]
 66%|######6   | 104/157 [00:06<00:03, 15.73it/s]
 68%|######7   | 106/157 [00:06<00:03, 15.76it/s]
 69%|######8   | 108/157 [00:06<00:03, 15.63it/s]
 70%|#######   | 110/157 [00:06<00:03, 15.63it/s]
 71%|#######1  | 112/157 [00:07<00:02, 15.60it/s]
 73%|#######2  | 114/157 [00:07<00:02, 15.65it/s]
 74%|#######3  | 116/157 [00:07<00:02, 15.74it/s]
 75%|#######5  | 118/157 [00:07<00:02, 15.68it/s]
 76%|#######6  | 120/157 [00:07<00:02, 15.64it/s]
 78%|#######7  | 122/157 [00:07<00:02, 15.70it/s]
 79%|#######8  | 124/157 [00:07<00:02, 15.56it/s]
 80%|########  | 126/157 [00:08<00:01, 15.56it/s]
 82%|########1 | 128/157 [00:08<00:01, 15.58it/s]
 83%|########2 | 130/157 [00:08<00:01, 15.69it/s]
 84%|########4 | 132/157 [00:08<00:01, 15.57it/s]
 85%|########5 | 134/157 [00:08<00:01, 15.63it/s]
 87%|########6 | 136/157 [00:08<00:01, 15.71it/s]
 88%|########7 | 138/157 [00:08<00:01, 15.77it/s]
 89%|########9 | 140/157 [00:08<00:01, 15.77it/s]
 90%|######### | 142/157 [00:09<00:00, 15.84it/s]
 92%|#########1| 144/157 [00:09<00:00, 15.88it/s]
 93%|#########2| 146/157 [00:09<00:00, 15.82it/s]
 94%|#########4| 148/157 [00:09<00:00, 15.66it/s]
 96%|#########5| 150/157 [00:09<00:00, 15.51it/s]
 97%|#########6| 152/157 [00:09<00:00, 15.65it/s]
 98%|#########8| 154/157 [00:09<00:00, 15.74it/s]
 99%|#########9| 156/157 [00:09<00:00, 15.80it/s]
100%|##########| 157/157 [00:09<00:00, 15.79it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:49, 15.64it/s]
  1%|          | 4/781 [00:00<00:49, 15.77it/s]
  1%|          | 6/781 [00:00<00:49, 15.77it/s]
  1%|1         | 8/781 [00:00<00:48, 16.06it/s]
  1%|1         | 10/781 [00:00<00:46, 16.45it/s]
  2%|1         | 12/781 [00:00<00:45, 17.01it/s]
  2%|1         | 14/781 [00:00<00:45, 16.87it/s]
  2%|2         | 16/781 [00:00<00:44, 17.14it/s]
  2%|2         | 18/781 [00:01<00:43, 17.58it/s]
  3%|2         | 20/781 [00:01<00:43, 17.63it/s]
  3%|2         | 22/781 [00:01<00:43, 17.62it/s]
  3%|3         | 24/781 [00:01<00:43, 17.58it/s]
  3%|3         | 26/781 [00:01<00:42, 17.68it/s]
  4%|3         | 28/781 [00:01<00:42, 17.81it/s]
  4%|3         | 30/781 [00:01<00:42, 17.74it/s]
  4%|4         | 32/781 [00:01<00:42, 17.83it/s]
  4%|4         | 34/781 [00:01<00:41, 17.79it/s]
  5%|4         | 36/781 [00:02<00:41, 17.91it/s]
  5%|4         | 38/781 [00:02<00:41, 17.91it/s]
  5%|5         | 40/781 [00:02<00:41, 17.83it/s]
  5%|5         | 42/781 [00:02<00:41, 17.88it/s]
  6%|5         | 44/781 [00:02<00:41, 17.86it/s]
  6%|5         | 46/781 [00:02<00:41, 17.92it/s]
  6%|6         | 48/781 [00:02<00:40, 17.95it/s]
  6%|6         | 50/781 [00:02<00:40, 18.03it/s]
  7%|6         | 52/781 [00:02<00:40, 18.04it/s]
  7%|6         | 54/781 [00:03<00:40, 18.07it/s]
  7%|7         | 56/781 [00:03<00:40, 17.93it/s]
  7%|7         | 58/781 [00:03<00:40, 17.89it/s]
  8%|7         | 60/781 [00:03<00:40, 17.71it/s]
  8%|7         | 62/781 [00:03<00:41, 17.51it/s]
  8%|8         | 64/781 [00:03<00:40, 17.84it/s]
  8%|8         | 66/781 [00:03<00:39, 17.88it/s]
  9%|8         | 68/781 [00:03<00:39, 17.91it/s]
  9%|8         | 70/781 [00:03<00:39, 18.11it/s]
  9%|9         | 72/781 [00:04<00:39, 17.90it/s]
  9%|9         | 74/781 [00:04<00:39, 17.77it/s]
 10%|9         | 76/781 [00:04<00:40, 17.55it/s]
 10%|9         | 78/781 [00:04<00:39, 17.97it/s]
 10%|#         | 80/781 [00:04<00:38, 18.26it/s]
 10%|#         | 82/781 [00:04<00:37, 18.69it/s]
 11%|#         | 85/781 [00:04<00:36, 18.87it/s]
 11%|#1        | 88/781 [00:04<00:35, 19.51it/s]
 12%|#1        | 91/781 [00:05<00:34, 19.93it/s]
 12%|#2        | 94/781 [00:05<00:34, 20.10it/s]
 12%|#2        | 97/781 [00:05<00:33, 20.24it/s]
 13%|#2        | 100/781 [00:05<00:33, 20.18it/s]
 13%|#3        | 103/781 [00:05<00:33, 20.04it/s]
 14%|#3        | 106/781 [00:05<00:34, 19.81it/s]
 14%|#3        | 109/781 [00:05<00:33, 19.91it/s]
 14%|#4        | 112/781 [00:06<00:33, 20.11it/s]
 15%|#4        | 115/781 [00:06<00:32, 20.20it/s]
 15%|#5        | 118/781 [00:06<00:32, 20.13it/s]
 15%|#5        | 121/781 [00:06<00:33, 19.95it/s]
 16%|#5        | 123/781 [00:06<00:33, 19.87it/s]
 16%|#6        | 125/781 [00:06<00:32, 19.88it/s]
 16%|#6        | 128/781 [00:06<00:32, 19.96it/s]
 17%|#6        | 130/781 [00:07<00:32, 19.94it/s]
 17%|#6        | 132/781 [00:07<00:32, 19.93it/s]
 17%|#7        | 135/781 [00:07<00:32, 20.18it/s]
 18%|#7        | 138/781 [00:07<00:31, 20.45it/s]
 18%|#8        | 141/781 [00:07<00:31, 20.52it/s]
 18%|#8        | 144/781 [00:07<00:31, 20.48it/s]
 19%|#8        | 147/781 [00:07<00:30, 20.53it/s]
 19%|#9        | 150/781 [00:07<00:30, 20.59it/s]
 20%|#9        | 153/781 [00:08<00:30, 20.36it/s]
 20%|#9        | 156/781 [00:08<00:30, 20.17it/s]
 20%|##        | 159/781 [00:08<00:30, 20.07it/s]
 21%|##        | 162/781 [00:08<00:30, 20.16it/s]
 21%|##1       | 165/781 [00:08<00:30, 20.23it/s]
 22%|##1       | 168/781 [00:08<00:30, 20.36it/s]
 22%|##1       | 171/781 [00:09<00:30, 20.31it/s]
 22%|##2       | 174/781 [00:09<00:30, 20.03it/s]
 23%|##2       | 177/781 [00:09<00:29, 20.20it/s]
 23%|##3       | 180/781 [00:09<00:29, 20.29it/s]
 23%|##3       | 183/781 [00:09<00:29, 20.09it/s]
 24%|##3       | 186/781 [00:09<00:29, 20.12it/s]
 24%|##4       | 189/781 [00:09<00:29, 20.25it/s]
 25%|##4       | 192/781 [00:10<00:28, 20.35it/s]
 25%|##4       | 195/781 [00:10<00:28, 20.44it/s]
 25%|##5       | 198/781 [00:10<00:28, 20.50it/s]
 26%|##5       | 201/781 [00:10<00:28, 20.54it/s]
 26%|##6       | 204/781 [00:10<00:28, 20.25it/s]
 27%|##6       | 207/781 [00:10<00:28, 20.13it/s]
 27%|##6       | 210/781 [00:10<00:28, 19.93it/s]
 27%|##7       | 212/781 [00:11<00:28, 19.71it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.54it/s]
 28%|##7       | 216/781 [00:11<00:29, 19.05it/s]
 28%|##8       | 219/781 [00:11<00:29, 19.26it/s]
 28%|##8       | 221/781 [00:11<00:28, 19.39it/s]
 29%|##8       | 224/781 [00:11<00:28, 19.82it/s]
 29%|##9       | 227/781 [00:11<00:27, 19.88it/s]
 29%|##9       | 230/781 [00:11<00:27, 20.05it/s]
 30%|##9       | 232/781 [00:12<00:27, 20.03it/s]
 30%|##9       | 234/781 [00:12<00:27, 19.65it/s]
 30%|###       | 237/781 [00:12<00:27, 19.67it/s]
 31%|###       | 239/781 [00:12<00:27, 19.69it/s]
 31%|###       | 241/781 [00:12<00:27, 19.41it/s]
 31%|###1      | 243/781 [00:12<00:27, 19.33it/s]
 31%|###1      | 245/781 [00:12<00:28, 18.83it/s]
 32%|###1      | 247/781 [00:12<00:28, 18.49it/s]
 32%|###1      | 249/781 [00:13<00:29, 18.33it/s]
 32%|###2      | 251/781 [00:13<00:29, 18.17it/s]
 32%|###2      | 253/781 [00:13<00:29, 17.93it/s]
 33%|###2      | 255/781 [00:13<00:29, 18.06it/s]
 33%|###2      | 257/781 [00:13<00:29, 17.93it/s]
 33%|###3      | 259/781 [00:13<00:29, 17.92it/s]
 33%|###3      | 261/781 [00:13<00:29, 17.87it/s]
 34%|###3      | 263/781 [00:13<00:29, 17.84it/s]
 34%|###3      | 265/781 [00:13<00:28, 17.86it/s]
 34%|###4      | 267/781 [00:14<00:28, 17.84it/s]
 34%|###4      | 269/781 [00:14<00:28, 17.79it/s]
 35%|###4      | 271/781 [00:14<00:28, 17.86it/s]
 35%|###4      | 273/781 [00:14<00:28, 17.93it/s]
 35%|###5      | 275/781 [00:14<00:28, 17.96it/s]
 35%|###5      | 277/781 [00:14<00:28, 17.89it/s]
 36%|###5      | 279/781 [00:14<00:27, 17.95it/s]
 36%|###5      | 281/781 [00:14<00:27, 18.09it/s]
 36%|###6      | 283/781 [00:14<00:27, 18.12it/s]
 36%|###6      | 285/781 [00:15<00:27, 18.14it/s]
 37%|###6      | 287/781 [00:15<00:27, 18.23it/s]
 37%|###7      | 289/781 [00:15<00:26, 18.30it/s]
 37%|###7      | 291/781 [00:15<00:26, 18.35it/s]
 38%|###7      | 293/781 [00:15<00:26, 18.25it/s]
 38%|###7      | 295/781 [00:15<00:26, 18.31it/s]
 38%|###8      | 297/781 [00:15<00:26, 18.17it/s]
 38%|###8      | 299/781 [00:15<00:26, 18.11it/s]
 39%|###8      | 301/781 [00:15<00:26, 18.14it/s]
 39%|###8      | 303/781 [00:15<00:26, 18.23it/s]
 39%|###9      | 305/781 [00:16<00:26, 18.23it/s]
 39%|###9      | 307/781 [00:16<00:25, 18.30it/s]
 40%|###9      | 309/781 [00:16<00:25, 18.24it/s]
 40%|###9      | 311/781 [00:16<00:26, 18.08it/s]
 40%|####      | 313/781 [00:16<00:25, 18.09it/s]
 40%|####      | 315/781 [00:16<00:25, 17.94it/s]
 41%|####      | 317/781 [00:16<00:25, 17.99it/s]
 41%|####      | 319/781 [00:16<00:25, 17.87it/s]
 41%|####1     | 321/781 [00:17<00:26, 17.67it/s]
 41%|####1     | 323/781 [00:17<00:25, 17.82it/s]
 42%|####1     | 325/781 [00:17<00:25, 17.93it/s]
 42%|####1     | 327/781 [00:17<00:25, 18.07it/s]
 42%|####2     | 329/781 [00:17<00:24, 18.13it/s]
 42%|####2     | 331/781 [00:17<00:24, 18.16it/s]
 43%|####2     | 333/781 [00:17<00:24, 18.02it/s]
 43%|####2     | 335/781 [00:17<00:24, 17.92it/s]
 43%|####3     | 337/781 [00:17<00:24, 17.97it/s]
 43%|####3     | 339/781 [00:17<00:24, 18.02it/s]
 44%|####3     | 341/781 [00:18<00:24, 17.86it/s]
 44%|####3     | 343/781 [00:18<00:24, 17.89it/s]
 44%|####4     | 345/781 [00:18<00:24, 17.85it/s]
 44%|####4     | 347/781 [00:18<00:24, 17.92it/s]
 45%|####4     | 349/781 [00:18<00:24, 17.92it/s]
 45%|####4     | 351/781 [00:18<00:23, 18.07it/s]
 45%|####5     | 353/781 [00:18<00:23, 18.09it/s]
 45%|####5     | 355/781 [00:18<00:23, 18.20it/s]
 46%|####5     | 357/781 [00:18<00:23, 18.25it/s]
 46%|####5     | 359/781 [00:19<00:23, 18.23it/s]
 46%|####6     | 361/781 [00:19<00:23, 18.12it/s]
 46%|####6     | 363/781 [00:19<00:23, 18.10it/s]
 47%|####6     | 365/781 [00:19<00:23, 18.08it/s]
 47%|####6     | 367/781 [00:19<00:22, 18.17it/s]
 47%|####7     | 369/781 [00:19<00:22, 18.21it/s]
 48%|####7     | 371/781 [00:19<00:22, 18.21it/s]
 48%|####7     | 373/781 [00:19<00:22, 18.26it/s]
 48%|####8     | 375/781 [00:19<00:22, 18.31it/s]
 48%|####8     | 377/781 [00:20<00:22, 18.35it/s]
 49%|####8     | 379/781 [00:20<00:21, 18.37it/s]
 49%|####8     | 381/781 [00:20<00:21, 18.22it/s]
 49%|####9     | 383/781 [00:20<00:21, 18.15it/s]
 49%|####9     | 385/781 [00:20<00:22, 17.74it/s]
 50%|####9     | 387/781 [00:20<00:22, 17.85it/s]
 50%|####9     | 389/781 [00:20<00:21, 17.89it/s]
 50%|#####     | 391/781 [00:20<00:21, 17.88it/s]
 50%|#####     | 393/781 [00:20<00:21, 18.06it/s]
 51%|#####     | 395/781 [00:21<00:21, 18.14it/s]
 51%|#####     | 397/781 [00:21<00:21, 18.21it/s]
 51%|#####1    | 399/781 [00:21<00:20, 18.25it/s]
 51%|#####1    | 401/781 [00:21<00:20, 18.20it/s]
 52%|#####1    | 403/781 [00:21<00:20, 18.01it/s]
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100%|##########| 781/781 [00:42<00:00, 17.81it/s]
100%|##########| 781/781 [00:42<00:00, 18.29it/s]




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Validation Progress:  55%|#####4    | 24/44 [00:25<00:22,  1.13s/it]
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Validation Progress:  57%|#####6    | 25/44 [00:26<00:21,  1.13s/it]
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Validation Progress:  59%|#####9    | 26/44 [00:27<00:20,  1.12s/it]
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Validation Progress:  61%|######1   | 27/44 [00:28<00:19,  1.13s/it]
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Validation Progress:  64%|######3   | 28/44 [00:30<00:18,  1.13s/it]
Validation Progress:  64%|######3   | 28/44 [00:30<00:17,  1.12s/it]
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Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
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Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.12s/it]
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Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.12s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.12s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.12s/it]
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Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.10s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.10s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:11,  1.09s/it]
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Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.09s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:11,  1.09s/it]
Validation Progress:  77%|#######7  | 34/44 [00:36<00:11,  1.16s/it]
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Validation Progress:  77%|#######7  | 34/44 [00:36<00:11,  1.16s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
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Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.15s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.18s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.18s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.18s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.18s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.19s/it]
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Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
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Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:43<00:04,  1.15s/it]
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Validation Progress:  91%|######### | 40/44 [00:43<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:43<00:04,  1.15s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.18s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.18s/it]
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Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.17s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress: 100%|##########| 44/44 [00:47<00:00,  1.02it/s]
Validation Progress: 100%|##########| 44/44 [00:47<00:00,  1.09s/it]
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Validation Progress: 100%|##########| 44/44 [00:47<00:00,  1.09s/it]
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Validation Progress: 100%|##########| 44/44 [00:47<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:47<00:00,  1.09s/it]

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100%|##########| 1/1 [00:05<00:00,  5.62s/it]

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100%|##########| 157/157 [00:10<00:00, 15.58it/s]

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 23%|##2       | 178/781 [00:09<00:32, 18.53it/s]
 23%|##3       | 180/781 [00:09<00:32, 18.60it/s]
 23%|##3       | 182/781 [00:09<00:31, 18.72it/s]
 24%|##3       | 184/781 [00:09<00:32, 18.45it/s]
 24%|##3       | 186/781 [00:10<00:32, 18.52it/s]
 24%|##4       | 188/781 [00:10<00:32, 18.53it/s]
 24%|##4       | 190/781 [00:10<00:31, 18.74it/s]
 25%|##4       | 192/781 [00:10<00:31, 18.84it/s]
 25%|##4       | 194/781 [00:10<00:31, 18.92it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.04it/s]
 25%|##5       | 198/781 [00:10<00:30, 18.90it/s]
 26%|##5       | 200/781 [00:10<00:30, 18.92it/s]
 26%|##5       | 202/781 [00:10<00:30, 18.87it/s]
 26%|##6       | 204/781 [00:11<00:30, 18.98it/s]
 26%|##6       | 206/781 [00:11<00:30, 18.94it/s]
 27%|##6       | 208/781 [00:11<00:30, 19.03it/s]
 27%|##6       | 210/781 [00:11<00:29, 19.12it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.07it/s]
 27%|##7       | 214/781 [00:11<00:30, 18.89it/s]
 28%|##7       | 216/781 [00:11<00:29, 18.97it/s]
 28%|##7       | 218/781 [00:11<00:29, 19.07it/s]
 28%|##8       | 220/781 [00:11<00:29, 19.03it/s]
 28%|##8       | 222/781 [00:11<00:29, 19.00it/s]
 29%|##8       | 224/781 [00:12<00:29, 19.05it/s]
 29%|##8       | 226/781 [00:12<00:29, 19.11it/s]
 29%|##9       | 228/781 [00:12<00:28, 19.20it/s]
 29%|##9       | 230/781 [00:12<00:28, 19.22it/s]
 30%|##9       | 232/781 [00:12<00:28, 19.24it/s]
 30%|##9       | 234/781 [00:12<00:28, 19.14it/s]
 30%|###       | 236/781 [00:12<00:28, 19.12it/s]
 30%|###       | 238/781 [00:12<00:28, 19.06it/s]
 31%|###       | 240/781 [00:12<00:28, 18.97it/s]
 31%|###       | 242/781 [00:13<00:28, 18.79it/s]
 31%|###1      | 244/781 [00:13<00:28, 18.77it/s]
 31%|###1      | 246/781 [00:13<00:28, 18.77it/s]
 32%|###1      | 248/781 [00:13<00:28, 18.92it/s]
 32%|###2      | 250/781 [00:13<00:27, 19.01it/s]
 32%|###2      | 252/781 [00:13<00:27, 19.06it/s]
 33%|###2      | 254/781 [00:13<00:27, 18.95it/s]
 33%|###2      | 256/781 [00:13<00:27, 18.94it/s]
 33%|###3      | 258/781 [00:13<00:27, 18.90it/s]
 33%|###3      | 260/781 [00:13<00:27, 18.65it/s]
 34%|###3      | 262/781 [00:14<00:27, 18.79it/s]
 34%|###3      | 264/781 [00:14<00:27, 18.71it/s]
 34%|###4      | 266/781 [00:14<00:27, 18.83it/s]
 34%|###4      | 268/781 [00:14<00:27, 18.91it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.04it/s]
 35%|###4      | 272/781 [00:14<00:26, 19.03it/s]
 35%|###5      | 274/781 [00:14<00:27, 18.77it/s]
 35%|###5      | 276/781 [00:14<00:27, 18.69it/s]
 36%|###5      | 278/781 [00:14<00:27, 18.62it/s]
 36%|###5      | 280/781 [00:15<00:26, 18.76it/s]
 36%|###6      | 282/781 [00:15<00:26, 18.74it/s]
 36%|###6      | 284/781 [00:15<00:26, 18.85it/s]
 37%|###6      | 286/781 [00:15<00:26, 18.72it/s]
 37%|###6      | 288/781 [00:15<00:26, 18.66it/s]
 37%|###7      | 290/781 [00:15<00:26, 18.80it/s]
 37%|###7      | 292/781 [00:15<00:26, 18.65it/s]
 38%|###7      | 294/781 [00:15<00:26, 18.68it/s]
 38%|###7      | 296/781 [00:15<00:25, 18.67it/s]
 38%|###8      | 298/781 [00:15<00:25, 18.73it/s]
 38%|###8      | 300/781 [00:16<00:25, 18.68it/s]
 39%|###8      | 302/781 [00:16<00:25, 18.60it/s]
 39%|###8      | 304/781 [00:16<00:25, 18.77it/s]
 39%|###9      | 306/781 [00:16<00:25, 18.81it/s]
 39%|###9      | 308/781 [00:16<00:24, 18.95it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.03it/s]
 40%|###9      | 312/781 [00:16<00:24, 19.09it/s]
 40%|####      | 314/781 [00:16<00:24, 18.88it/s]
 40%|####      | 316/781 [00:16<00:24, 18.98it/s]
 41%|####      | 318/781 [00:17<00:24, 19.06it/s]
 41%|####      | 320/781 [00:17<00:24, 19.12it/s]
 41%|####1     | 322/781 [00:17<00:24, 18.87it/s]
 41%|####1     | 324/781 [00:17<00:24, 18.96it/s]
 42%|####1     | 326/781 [00:17<00:24, 18.90it/s]
 42%|####1     | 328/781 [00:17<00:23, 18.92it/s]
 42%|####2     | 330/781 [00:17<00:23, 19.00it/s]
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 44%|####3     | 342/781 [00:18<00:23, 18.99it/s]
 44%|####4     | 344/781 [00:18<00:22, 19.03it/s]
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 45%|####5     | 352/781 [00:18<00:22, 18.83it/s]
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 46%|####5     | 356/781 [00:19<00:22, 18.93it/s]
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 47%|####6     | 366/781 [00:19<00:21, 18.88it/s]
 47%|####7     | 368/781 [00:19<00:21, 18.84it/s]
 47%|####7     | 370/781 [00:19<00:21, 18.94it/s]
 48%|####7     | 372/781 [00:19<00:21, 18.71it/s]
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 48%|####8     | 376/781 [00:20<00:21, 18.79it/s]
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 49%|####8     | 380/781 [00:20<00:21, 18.94it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.94it/s]
 49%|####9     | 384/781 [00:20<00:21, 18.87it/s]
 49%|####9     | 386/781 [00:20<00:21, 18.34it/s]
 50%|####9     | 388/781 [00:20<00:21, 18.52it/s]
 50%|####9     | 390/781 [00:20<00:21, 18.49it/s]
 50%|#####     | 392/781 [00:20<00:21, 18.46it/s]
 50%|#####     | 394/781 [00:21<00:21, 18.34it/s]
 51%|#####     | 396/781 [00:21<00:20, 18.42it/s]
 51%|#####     | 398/781 [00:21<00:20, 18.59it/s]
 51%|#####1    | 400/781 [00:21<00:20, 18.77it/s]
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 53%|#####2    | 412/781 [00:22<00:19, 18.79it/s]
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 55%|#####4    | 426/781 [00:22<00:18, 19.14it/s]
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 61%|######1   | 478/781 [00:25<00:16, 18.87it/s]
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 63%|######2   | 492/781 [00:26<00:15, 19.25it/s]
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 70%|######9   | 543/781 [00:29<00:13, 18.14it/s]
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 70%|#######   | 547/781 [00:29<00:12, 18.41it/s]
 70%|#######   | 549/781 [00:29<00:12, 18.45it/s]
 71%|#######   | 551/781 [00:29<00:12, 18.49it/s]
 71%|#######   | 553/781 [00:29<00:12, 18.42it/s]
 71%|#######1  | 555/781 [00:29<00:12, 18.40it/s]
 71%|#######1  | 557/781 [00:29<00:12, 18.52it/s]
 72%|#######1  | 559/781 [00:29<00:11, 18.71it/s]
 72%|#######1  | 561/781 [00:29<00:11, 18.86it/s]
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 72%|#######2  | 565/781 [00:30<00:11, 18.85it/s]
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 73%|#######2  | 569/781 [00:30<00:11, 18.53it/s]
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100%|##########| 781/781 [00:41<00:00, 18.71it/s]




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 74%|#######3  | 116/157 [00:07<00:02, 16.69it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.78it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.84it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.82it/s]
 79%|#######8  | 124/157 [00:07<00:01, 16.84it/s]
 80%|########  | 126/157 [00:07<00:01, 16.72it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.81it/s]
 83%|########2 | 130/157 [00:07<00:01, 16.71it/s]
 84%|########4 | 132/157 [00:08<00:01, 16.73it/s]
 85%|########5 | 134/157 [00:08<00:01, 16.71it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.57it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.64it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.45it/s]
 90%|######### | 142/157 [00:08<00:00, 16.62it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.71it/s]
 93%|#########2| 146/157 [00:08<00:00, 16.70it/s]
 94%|#########4| 148/157 [00:08<00:00, 16.52it/s]
 96%|#########5| 150/157 [00:09<00:00, 16.43it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.51it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.67it/s]
 99%|#########9| 156/157 [00:09<00:00, 16.80it/s]
100%|##########| 157/157 [00:09<00:00, 16.55it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:46, 16.85it/s]
  1%|          | 4/781 [00:00<00:44, 17.60it/s]
  1%|          | 6/781 [00:00<00:42, 18.13it/s]
  1%|1         | 8/781 [00:00<00:41, 18.49it/s]
  1%|1         | 10/781 [00:00<00:40, 18.94it/s]
  2%|1         | 12/781 [00:00<00:40, 19.07it/s]
  2%|1         | 14/781 [00:00<00:40, 19.06it/s]
  2%|2         | 16/781 [00:00<00:39, 19.24it/s]
  2%|2         | 19/781 [00:01<00:38, 19.59it/s]
  3%|2         | 21/781 [00:01<00:39, 19.30it/s]
  3%|2         | 23/781 [00:01<00:39, 19.07it/s]
  3%|3         | 25/781 [00:01<00:39, 19.16it/s]
  3%|3         | 27/781 [00:01<00:39, 19.03it/s]
  4%|3         | 29/781 [00:01<00:39, 19.24it/s]
  4%|3         | 31/781 [00:01<00:39, 19.16it/s]
  4%|4         | 34/781 [00:01<00:38, 19.52it/s]
  5%|4         | 37/781 [00:01<00:38, 19.48it/s]
  5%|4         | 39/781 [00:02<00:38, 19.46it/s]
  5%|5         | 41/781 [00:02<00:37, 19.50it/s]
  6%|5         | 43/781 [00:02<00:38, 19.29it/s]
  6%|5         | 45/781 [00:02<00:38, 19.24it/s]
  6%|6         | 47/781 [00:02<00:38, 19.19it/s]
  6%|6         | 49/781 [00:02<00:37, 19.28it/s]
  7%|6         | 51/781 [00:02<00:37, 19.46it/s]
  7%|6         | 53/781 [00:02<00:37, 19.36it/s]
  7%|7         | 55/781 [00:02<00:37, 19.47it/s]
  7%|7         | 57/781 [00:02<00:37, 19.51it/s]
  8%|7         | 59/781 [00:03<00:37, 19.42it/s]
  8%|7         | 61/781 [00:03<00:36, 19.50it/s]
  8%|8         | 63/781 [00:03<00:37, 19.36it/s]
  8%|8         | 65/781 [00:03<00:36, 19.45it/s]
  9%|8         | 67/781 [00:03<00:36, 19.59it/s]
  9%|8         | 69/781 [00:03<00:36, 19.43it/s]
  9%|9         | 71/781 [00:03<00:36, 19.51it/s]
  9%|9         | 73/781 [00:03<00:36, 19.54it/s]
 10%|9         | 75/781 [00:03<00:36, 19.47it/s]
 10%|9         | 77/781 [00:03<00:36, 19.48it/s]
 10%|#         | 79/781 [00:04<00:35, 19.53it/s]
 10%|#         | 81/781 [00:04<00:36, 18.97it/s]
 11%|#         | 83/781 [00:04<00:37, 18.84it/s]
 11%|#         | 85/781 [00:04<00:36, 18.90it/s]
 11%|#1        | 87/781 [00:04<00:36, 19.07it/s]
 11%|#1        | 89/781 [00:04<00:36, 18.91it/s]
 12%|#1        | 91/781 [00:04<00:36, 18.76it/s]
 12%|#1        | 93/781 [00:04<00:36, 18.88it/s]
 12%|#2        | 95/781 [00:04<00:36, 18.83it/s]
 12%|#2        | 97/781 [00:05<00:36, 18.66it/s]
 13%|#2        | 99/781 [00:05<00:36, 18.76it/s]
 13%|#2        | 101/781 [00:05<00:35, 19.01it/s]
 13%|#3        | 103/781 [00:05<00:35, 18.87it/s]
 13%|#3        | 105/781 [00:05<00:35, 19.12it/s]
 14%|#3        | 107/781 [00:05<00:35, 18.84it/s]
 14%|#3        | 109/781 [00:05<00:35, 18.92it/s]
 14%|#4        | 111/781 [00:05<00:35, 18.69it/s]
 14%|#4        | 113/781 [00:05<00:36, 18.41it/s]
 15%|#4        | 115/781 [00:06<00:36, 18.32it/s]
 15%|#4        | 117/781 [00:06<00:36, 18.25it/s]
 15%|#5        | 119/781 [00:06<00:36, 18.21it/s]
 15%|#5        | 121/781 [00:06<00:36, 18.20it/s]
 16%|#5        | 123/781 [00:06<00:35, 18.40it/s]
 16%|#6        | 125/781 [00:06<00:34, 18.79it/s]
 16%|#6        | 127/781 [00:06<00:34, 18.73it/s]
 17%|#6        | 129/781 [00:06<00:34, 18.77it/s]
 17%|#6        | 131/781 [00:06<00:34, 18.72it/s]
 17%|#7        | 133/781 [00:06<00:34, 18.83it/s]
 17%|#7        | 135/781 [00:07<00:34, 18.87it/s]
 18%|#7        | 137/781 [00:07<00:33, 18.99it/s]
 18%|#7        | 139/781 [00:07<00:33, 18.99it/s]
 18%|#8        | 141/781 [00:07<00:33, 19.01it/s]
 18%|#8        | 143/781 [00:07<00:33, 19.07it/s]
 19%|#8        | 145/781 [00:07<00:33, 19.12it/s]
 19%|#8        | 147/781 [00:07<00:33, 19.16it/s]
 19%|#9        | 149/781 [00:07<00:33, 19.14it/s]
 19%|#9        | 151/781 [00:07<00:32, 19.13it/s]
 20%|#9        | 153/781 [00:08<00:32, 19.22it/s]
 20%|#9        | 155/781 [00:08<00:32, 19.09it/s]
 20%|##        | 157/781 [00:08<00:32, 19.08it/s]
 20%|##        | 159/781 [00:08<00:32, 19.19it/s]
 21%|##        | 161/781 [00:08<00:32, 19.18it/s]
 21%|##        | 163/781 [00:08<00:32, 19.06it/s]
 21%|##1       | 165/781 [00:08<00:32, 19.09it/s]
 21%|##1       | 167/781 [00:08<00:31, 19.24it/s]
 22%|##1       | 169/781 [00:08<00:32, 18.98it/s]
 22%|##1       | 171/781 [00:08<00:32, 19.01it/s]
 22%|##2       | 173/781 [00:09<00:31, 19.14it/s]
 22%|##2       | 175/781 [00:09<00:31, 19.24it/s]
 23%|##2       | 177/781 [00:09<00:31, 19.25it/s]
 23%|##2       | 179/781 [00:09<00:31, 18.90it/s]
 23%|##3       | 181/781 [00:09<00:31, 18.96it/s]
 23%|##3       | 183/781 [00:09<00:31, 19.02it/s]
 24%|##3       | 185/781 [00:09<00:31, 19.01it/s]
 24%|##3       | 187/781 [00:09<00:31, 19.07it/s]
 24%|##4       | 189/781 [00:09<00:30, 19.16it/s]
 24%|##4       | 191/781 [00:10<00:30, 19.21it/s]
 25%|##4       | 193/781 [00:10<00:30, 19.25it/s]
 25%|##4       | 195/781 [00:10<00:30, 19.26it/s]
 25%|##5       | 197/781 [00:10<00:30, 19.10it/s]
 25%|##5       | 199/781 [00:10<00:30, 19.16it/s]
 26%|##5       | 201/781 [00:10<00:30, 19.16it/s]
 26%|##5       | 203/781 [00:10<00:30, 19.19it/s]
 26%|##6       | 205/781 [00:10<00:30, 19.11it/s]
 27%|##6       | 207/781 [00:10<00:30, 19.11it/s]
 27%|##6       | 209/781 [00:10<00:30, 18.70it/s]
 27%|##7       | 211/781 [00:11<00:30, 18.80it/s]
 27%|##7       | 213/781 [00:11<00:30, 18.90it/s]
 28%|##7       | 215/781 [00:11<00:29, 19.06it/s]
 28%|##7       | 217/781 [00:11<00:29, 19.16it/s]
 28%|##8       | 219/781 [00:11<00:29, 18.90it/s]
 28%|##8       | 221/781 [00:11<00:29, 18.89it/s]
 29%|##8       | 223/781 [00:11<00:29, 18.91it/s]
 29%|##8       | 225/781 [00:11<00:29, 18.92it/s]
 29%|##9       | 227/781 [00:11<00:29, 18.98it/s]
 29%|##9       | 229/781 [00:12<00:29, 18.55it/s]
 30%|##9       | 231/781 [00:12<00:29, 18.76it/s]
 30%|##9       | 233/781 [00:12<00:28, 18.95it/s]
 30%|###       | 235/781 [00:12<00:28, 19.07it/s]
 30%|###       | 237/781 [00:12<00:28, 19.18it/s]
 31%|###       | 239/781 [00:12<00:28, 19.12it/s]
 31%|###       | 241/781 [00:12<00:28, 19.12it/s]
 31%|###1      | 243/781 [00:12<00:28, 19.19it/s]
 31%|###1      | 245/781 [00:12<00:28, 19.09it/s]
 32%|###1      | 247/781 [00:12<00:28, 18.97it/s]
 32%|###1      | 249/781 [00:13<00:28, 18.95it/s]
 32%|###2      | 251/781 [00:13<00:28, 18.80it/s]
 32%|###2      | 253/781 [00:13<00:27, 18.96it/s]
 33%|###2      | 255/781 [00:13<00:27, 19.02it/s]
 33%|###2      | 257/781 [00:13<00:27, 19.00it/s]
 33%|###3      | 259/781 [00:13<00:27, 19.07it/s]
 33%|###3      | 261/781 [00:13<00:27, 19.12it/s]
 34%|###3      | 263/781 [00:13<00:27, 18.99it/s]
 34%|###3      | 265/781 [00:13<00:27, 18.95it/s]
 34%|###4      | 267/781 [00:14<00:27, 18.93it/s]
 34%|###4      | 269/781 [00:14<00:27, 18.92it/s]
 35%|###4      | 271/781 [00:14<00:27, 18.84it/s]
 35%|###4      | 273/781 [00:14<00:27, 18.53it/s]
 35%|###5      | 275/781 [00:14<00:27, 18.65it/s]
 35%|###5      | 277/781 [00:14<00:26, 18.79it/s]
 36%|###5      | 279/781 [00:14<00:26, 19.04it/s]
 36%|###5      | 281/781 [00:14<00:26, 18.77it/s]
 36%|###6      | 283/781 [00:14<00:26, 18.83it/s]
 36%|###6      | 285/781 [00:14<00:26, 18.80it/s]
 37%|###6      | 287/781 [00:15<00:26, 18.49it/s]
 37%|###7      | 289/781 [00:15<00:26, 18.47it/s]
 37%|###7      | 291/781 [00:15<00:26, 18.70it/s]
 38%|###7      | 293/781 [00:15<00:25, 18.86it/s]
 38%|###7      | 295/781 [00:15<00:25, 19.00it/s]
 38%|###8      | 297/781 [00:15<00:25, 19.07it/s]
 38%|###8      | 299/781 [00:15<00:25, 19.12it/s]
 39%|###8      | 301/781 [00:15<00:25, 19.18it/s]
 39%|###8      | 303/781 [00:15<00:24, 19.26it/s]
 39%|###9      | 305/781 [00:16<00:24, 19.19it/s]
 39%|###9      | 307/781 [00:16<00:24, 19.16it/s]
 40%|###9      | 309/781 [00:16<00:25, 18.87it/s]
 40%|###9      | 311/781 [00:16<00:24, 18.94it/s]
 40%|####      | 313/781 [00:16<00:25, 18.64it/s]
 40%|####      | 315/781 [00:16<00:24, 18.85it/s]
 41%|####      | 317/781 [00:16<00:24, 18.95it/s]
 41%|####      | 319/781 [00:16<00:24, 18.96it/s]
 41%|####1     | 321/781 [00:16<00:24, 18.88it/s]
 41%|####1     | 323/781 [00:16<00:23, 19.09it/s]
 42%|####1     | 325/781 [00:17<00:23, 19.01it/s]
 42%|####1     | 327/781 [00:17<00:23, 19.08it/s]
 42%|####2     | 329/781 [00:17<00:23, 18.91it/s]
 42%|####2     | 331/781 [00:17<00:23, 19.06it/s]
 43%|####2     | 333/781 [00:17<00:23, 19.00it/s]
 43%|####2     | 335/781 [00:17<00:23, 19.03it/s]
 43%|####3     | 337/781 [00:17<00:23, 18.93it/s]
 43%|####3     | 339/781 [00:17<00:23, 19.12it/s]
 44%|####3     | 341/781 [00:17<00:23, 19.12it/s]
 44%|####3     | 343/781 [00:18<00:22, 19.09it/s]
 44%|####4     | 345/781 [00:18<00:22, 19.20it/s]
 44%|####4     | 347/781 [00:18<00:22, 19.24it/s]
 45%|####4     | 349/781 [00:18<00:22, 19.07it/s]
 45%|####4     | 351/781 [00:18<00:22, 19.08it/s]
 45%|####5     | 353/781 [00:18<00:22, 18.87it/s]
 45%|####5     | 355/781 [00:18<00:22, 18.87it/s]
 46%|####5     | 357/781 [00:18<00:22, 19.00it/s]
 46%|####5     | 359/781 [00:18<00:22, 19.00it/s]
 46%|####6     | 361/781 [00:18<00:22, 19.02it/s]
 46%|####6     | 363/781 [00:19<00:21, 19.15it/s]
 47%|####6     | 365/781 [00:19<00:21, 19.26it/s]
 47%|####6     | 367/781 [00:19<00:21, 19.31it/s]
 47%|####7     | 369/781 [00:19<00:21, 19.32it/s]
 48%|####7     | 371/781 [00:19<00:21, 19.31it/s]
 48%|####7     | 373/781 [00:19<00:21, 19.26it/s]
 48%|####8     | 375/781 [00:19<00:21, 19.03it/s]
 48%|####8     | 377/781 [00:19<00:29, 13.79it/s]
 49%|####8     | 379/781 [00:20<00:26, 15.00it/s]
 49%|####8     | 381/781 [00:20<00:24, 16.08it/s]
 49%|####9     | 383/781 [00:20<00:23, 16.92it/s]
 49%|####9     | 385/781 [00:20<00:22, 17.58it/s]
 50%|####9     | 387/781 [00:20<00:22, 17.68it/s]
 50%|####9     | 389/781 [00:20<00:21, 18.15it/s]
 50%|#####     | 391/781 [00:20<00:21, 18.49it/s]
 50%|#####     | 393/781 [00:20<00:20, 18.76it/s]
 51%|#####     | 395/781 [00:20<00:20, 18.90it/s]
 51%|#####     | 397/781 [00:20<00:20, 19.08it/s]
 51%|#####1    | 399/781 [00:21<00:19, 19.20it/s]
 51%|#####1    | 401/781 [00:21<00:19, 19.27it/s]
 52%|#####1    | 403/781 [00:21<00:19, 19.31it/s]
 52%|#####1    | 405/781 [00:21<00:19, 19.30it/s]
 52%|#####2    | 407/781 [00:21<00:19, 19.18it/s]
 52%|#####2    | 409/781 [00:21<00:19, 18.79it/s]
 53%|#####2    | 411/781 [00:21<00:19, 18.57it/s]
 53%|#####2    | 413/781 [00:21<00:19, 18.64it/s]
 53%|#####3    | 415/781 [00:21<00:19, 18.66it/s]
 53%|#####3    | 417/781 [00:22<00:19, 18.75it/s]
 54%|#####3    | 419/781 [00:22<00:19, 18.92it/s]
 54%|#####3    | 421/781 [00:22<00:18, 19.03it/s]
 54%|#####4    | 423/781 [00:22<00:18, 19.13it/s]
 54%|#####4    | 425/781 [00:22<00:18, 19.02it/s]
 55%|#####4    | 427/781 [00:22<00:18, 18.91it/s]
 55%|#####4    | 429/781 [00:22<00:18, 18.85it/s]
 55%|#####5    | 431/781 [00:22<00:18, 18.99it/s]
 55%|#####5    | 433/781 [00:22<00:18, 19.11it/s]
 56%|#####5    | 435/781 [00:23<00:18, 18.94it/s]
 56%|#####5    | 437/781 [00:23<00:18, 18.99it/s]
 56%|#####6    | 439/781 [00:23<00:17, 19.02it/s]
 56%|#####6    | 441/781 [00:23<00:17, 19.13it/s]
 57%|#####6    | 443/781 [00:23<00:17, 19.10it/s]
 57%|#####6    | 445/781 [00:23<00:17, 19.04it/s]
 57%|#####7    | 447/781 [00:23<00:17, 18.81it/s]
 57%|#####7    | 449/781 [00:23<00:17, 18.78it/s]
 58%|#####7    | 451/781 [00:23<00:17, 18.79it/s]
 58%|#####8    | 453/781 [00:23<00:17, 18.81it/s]
 58%|#####8    | 455/781 [00:24<00:17, 18.91it/s]
 59%|#####8    | 457/781 [00:24<00:17, 18.69it/s]
 59%|#####8    | 459/781 [00:24<00:17, 18.62it/s]
 59%|#####9    | 461/781 [00:24<00:17, 18.66it/s]
 59%|#####9    | 463/781 [00:24<00:17, 18.54it/s]
 60%|#####9    | 465/781 [00:24<00:16, 18.79it/s]
 60%|#####9    | 467/781 [00:24<00:16, 18.94it/s]
 60%|######    | 469/781 [00:24<00:16, 19.07it/s]
 60%|######    | 471/781 [00:24<00:16, 19.13it/s]
 61%|######    | 473/781 [00:25<00:16, 19.10it/s]
 61%|######    | 475/781 [00:25<00:15, 19.16it/s]
 61%|######1   | 477/781 [00:25<00:15, 19.05it/s]
 61%|######1   | 479/781 [00:25<00:15, 19.03it/s]
 62%|######1   | 481/781 [00:25<00:15, 19.14it/s]
 62%|######1   | 483/781 [00:25<00:15, 19.16it/s]
 62%|######2   | 485/781 [00:25<00:15, 19.13it/s]
 62%|######2   | 487/781 [00:25<00:15, 19.13it/s]
 63%|######2   | 489/781 [00:25<00:15, 18.88it/s]
 63%|######2   | 491/781 [00:25<00:15, 18.89it/s]
 63%|######3   | 493/781 [00:26<00:15, 18.98it/s]
 63%|######3   | 495/781 [00:26<00:15, 19.00it/s]
 64%|######3   | 497/781 [00:26<00:14, 19.11it/s]
 64%|######3   | 499/781 [00:26<00:14, 19.08it/s]
 64%|######4   | 501/781 [00:26<00:14, 19.04it/s]
 64%|######4   | 503/781 [00:26<00:14, 18.72it/s]
 65%|######4   | 505/781 [00:26<00:14, 18.72it/s]
 65%|######4   | 507/781 [00:26<00:14, 18.88it/s]
 65%|######5   | 509/781 [00:26<00:14, 19.03it/s]
 65%|######5   | 511/781 [00:27<00:14, 19.04it/s]
 66%|######5   | 513/781 [00:27<00:14, 19.01it/s]
 66%|######5   | 515/781 [00:27<00:13, 19.03it/s]
 66%|######6   | 517/781 [00:27<00:13, 19.02it/s]
 66%|######6   | 519/781 [00:27<00:13, 19.18it/s]
 67%|######6   | 521/781 [00:27<00:13, 19.16it/s]
 67%|######6   | 523/781 [00:27<00:13, 19.16it/s]
 67%|######7   | 525/781 [00:27<00:13, 19.21it/s]
 67%|######7   | 527/781 [00:27<00:13, 19.16it/s]
 68%|######7   | 529/781 [00:27<00:13, 19.24it/s]
 68%|######7   | 531/781 [00:28<00:13, 19.04it/s]
 68%|######8   | 533/781 [00:28<00:13, 18.90it/s]
 69%|######8   | 535/781 [00:28<00:13, 18.59it/s]
 69%|######8   | 537/781 [00:28<00:13, 18.45it/s]
 69%|######9   | 539/781 [00:28<00:13, 18.55it/s]
 69%|######9   | 541/781 [00:28<00:12, 18.53it/s]
 70%|######9   | 543/781 [00:28<00:12, 18.63it/s]
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Validation Progress:  80%|#######9  | 35/44 [00:39<00:10,  1.21s/it]
Validation Progress:  80%|#######9  | 35/44 [00:39<00:10,  1.21s/it]
Validation Progress:  80%|#######9  | 35/44 [00:39<00:10,  1.21s/it]
Validation Progress:  82%|########1 | 36/44 [00:40<00:09,  1.20s/it]
Validation Progress:  82%|########1 | 36/44 [00:40<00:09,  1.20s/it]
Validation Progress:  82%|########1 | 36/44 [00:40<00:09,  1.21s/it]
Validation Progress:  82%|########1 | 36/44 [00:40<00:09,  1.21s/it]
Validation Progress:  84%|########4 | 37/44 [00:41<00:08,  1.24s/it]
Validation Progress:  84%|########4 | 37/44 [00:41<00:08,  1.24s/it]
Validation Progress:  84%|########4 | 37/44 [00:41<00:08,  1.24s/it]
Validation Progress:  84%|########4 | 37/44 [00:41<00:08,  1.24s/it]
Validation Progress:  86%|########6 | 38/44 [00:42<00:07,  1.24s/it]
Validation Progress:  86%|########6 | 38/44 [00:42<00:07,  1.24s/it]
Validation Progress:  86%|########6 | 38/44 [00:42<00:07,  1.24s/it]
Validation Progress:  86%|########6 | 38/44 [00:42<00:07,  1.24s/it]
Validation Progress:  89%|########8 | 39/44 [00:44<00:06,  1.23s/it]
Validation Progress:  89%|########8 | 39/44 [00:44<00:06,  1.23s/it]
Validation Progress:  89%|########8 | 39/44 [00:44<00:06,  1.23s/it]
Validation Progress:  89%|########8 | 39/44 [00:44<00:06,  1.23s/it]
Validation Progress:  91%|######### | 40/44 [00:45<00:04,  1.21s/it]
Validation Progress:  91%|######### | 40/44 [00:45<00:04,  1.21s/it]
Validation Progress:  91%|######### | 40/44 [00:45<00:04,  1.21s/it]
Validation Progress:  91%|######### | 40/44 [00:45<00:04,  1.21s/it]
Validation Progress:  93%|#########3| 41/44 [00:46<00:03,  1.24s/it]
Validation Progress:  93%|#########3| 41/44 [00:46<00:03,  1.24s/it]
Validation Progress:  93%|#########3| 41/44 [00:46<00:03,  1.24s/it]
Validation Progress:  93%|#########3| 41/44 [00:46<00:03,  1.24s/it]
Validation Progress:  95%|#########5| 42/44 [00:47<00:02,  1.23s/it]
Validation Progress:  95%|#########5| 42/44 [00:47<00:02,  1.23s/it]
Validation Progress:  95%|#########5| 42/44 [00:47<00:02,  1.23s/it]
Validation Progress:  95%|#########5| 42/44 [00:47<00:02,  1.23s/it]
Validation Progress:  98%|#########7| 43/44 [00:49<00:01,  1.25s/it]
Validation Progress:  98%|#########7| 43/44 [00:49<00:01,  1.25s/it]
Validation Progress:  98%|#########7| 43/44 [00:49<00:01,  1.25s/it]
Validation Progress:  98%|#########7| 43/44 [00:49<00:01,  1.25s/it]
Validation Progress: 100%|##########| 44/44 [00:49<00:00,  1.05s/it]
Validation Progress: 100%|##########| 44/44 [00:49<00:00,  1.05s/it]
Validation Progress: 100%|##########| 44/44 [00:49<00:00,  1.13s/it]
Validation Progress: 100%|##########| 44/44 [00:49<00:00,  1.13s/it]
Validation Progress: 100%|##########| 44/44 [00:49<00:00,  1.05s/it]
Validation Progress: 100%|##########| 44/44 [00:49<00:00,  1.06s/it]
Validation Progress: 100%|##########| 44/44 [00:49<00:00,  1.13s/it]
Validation Progress: 100%|##########| 44/44 [00:49<00:00,  1.13s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:07<00:00,  7.10s/it]
100%|##########| 1/1 [00:07<00:00,  7.10s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:09, 15.57it/s]
  3%|2         | 4/157 [00:00<00:09, 16.05it/s]
  4%|3         | 6/157 [00:00<00:09, 16.13it/s]
  5%|5         | 8/157 [00:00<00:09, 16.35it/s]
  6%|6         | 10/157 [00:00<00:08, 16.49it/s]
  8%|7         | 12/157 [00:00<00:08, 16.52it/s]
  9%|8         | 14/157 [00:00<00:08, 16.49it/s]
 10%|#         | 16/157 [00:00<00:08, 16.54it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.55it/s]
 13%|#2        | 20/157 [00:01<00:08, 16.68it/s]
 14%|#4        | 22/157 [00:01<00:08, 16.74it/s]
 15%|#5        | 24/157 [00:01<00:07, 16.73it/s]
 17%|#6        | 26/157 [00:01<00:07, 16.83it/s]
 18%|#7        | 28/157 [00:01<00:07, 16.77it/s]
 19%|#9        | 30/157 [00:01<00:07, 16.74it/s]
 20%|##        | 32/157 [00:01<00:07, 16.73it/s]
 22%|##1       | 34/157 [00:02<00:07, 16.76it/s]
 23%|##2       | 36/157 [00:02<00:07, 16.74it/s]
 24%|##4       | 38/157 [00:02<00:07, 16.73it/s]
 25%|##5       | 40/157 [00:02<00:07, 16.65it/s]
 27%|##6       | 42/157 [00:02<00:06, 16.65it/s]
 28%|##8       | 44/157 [00:02<00:06, 16.63it/s]
 29%|##9       | 46/157 [00:02<00:06, 16.30it/s]
 31%|###       | 48/157 [00:02<00:06, 16.39it/s]
 32%|###1      | 50/157 [00:03<00:06, 16.36it/s]
 33%|###3      | 52/157 [00:03<00:06, 16.20it/s]
 34%|###4      | 54/157 [00:03<00:06, 16.10it/s]
 36%|###5      | 56/157 [00:03<00:06, 16.21it/s]
 37%|###6      | 58/157 [00:03<00:06, 16.33it/s]
 38%|###8      | 60/157 [00:03<00:05, 16.45it/s]
 39%|###9      | 62/157 [00:03<00:05, 16.47it/s]
 41%|####      | 64/157 [00:03<00:05, 16.46it/s]
 42%|####2     | 66/157 [00:03<00:05, 16.49it/s]
 43%|####3     | 68/157 [00:04<00:05, 16.59it/s]
 45%|####4     | 70/157 [00:04<00:05, 16.59it/s]
 46%|####5     | 72/157 [00:04<00:05, 16.29it/s]
 47%|####7     | 74/157 [00:04<00:05, 16.14it/s]
 48%|####8     | 76/157 [00:04<00:05, 16.02it/s]
 50%|####9     | 78/157 [00:04<00:04, 16.22it/s]
 51%|#####     | 80/157 [00:04<00:04, 16.22it/s]
 52%|#####2    | 82/157 [00:04<00:04, 16.19it/s]
 54%|#####3    | 84/157 [00:05<00:04, 16.17it/s]
 55%|#####4    | 86/157 [00:05<00:04, 16.26it/s]
 56%|#####6    | 88/157 [00:05<00:04, 16.21it/s]
 57%|#####7    | 90/157 [00:05<00:04, 16.40it/s]
 59%|#####8    | 92/157 [00:05<00:03, 16.36it/s]
 60%|#####9    | 94/157 [00:05<00:03, 16.49it/s]
 61%|######1   | 96/157 [00:05<00:03, 16.65it/s]
 62%|######2   | 98/157 [00:05<00:03, 16.76it/s]
 64%|######3   | 100/157 [00:06<00:03, 16.84it/s]
 65%|######4   | 102/157 [00:06<00:03, 16.89it/s]
 66%|######6   | 104/157 [00:06<00:03, 16.90it/s]
 68%|######7   | 106/157 [00:06<00:03, 16.89it/s]
 69%|######8   | 108/157 [00:06<00:02, 16.95it/s]
 70%|#######   | 110/157 [00:06<00:02, 16.94it/s]
 71%|#######1  | 112/157 [00:06<00:02, 16.93it/s]
 73%|#######2  | 114/157 [00:06<00:02, 16.87it/s]
 74%|#######3  | 116/157 [00:07<00:02, 16.95it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.90it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.94it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.99it/s]
 79%|#######8  | 124/157 [00:07<00:01, 17.04it/s]
 80%|########  | 126/157 [00:07<00:01, 17.03it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.96it/s]
 83%|########2 | 130/157 [00:07<00:01, 16.80it/s]
 84%|########4 | 132/157 [00:07<00:01, 16.81it/s]
 85%|########5 | 134/157 [00:08<00:01, 16.88it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.94it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.97it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.97it/s]
 90%|######### | 142/157 [00:08<00:00, 17.00it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.96it/s]
 93%|#########2| 146/157 [00:08<00:00, 16.98it/s]
 94%|#########4| 148/157 [00:08<00:00, 16.75it/s]
 96%|#########5| 150/157 [00:09<00:00, 16.72it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.86it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.69it/s]
 99%|#########9| 156/157 [00:09<00:00, 16.79it/s]
100%|##########| 157/157 [00:09<00:00, 16.69it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:49, 15.86it/s]
  1%|          | 4/781 [00:00<00:46, 16.56it/s]
  1%|          | 6/781 [00:00<00:44, 17.54it/s]
  1%|1         | 8/781 [00:00<00:43, 17.87it/s]
  1%|1         | 10/781 [00:00<00:42, 18.25it/s]
  2%|1         | 12/781 [00:00<00:41, 18.57it/s]
  2%|1         | 14/781 [00:00<00:41, 18.68it/s]
  2%|2         | 16/781 [00:00<00:40, 18.71it/s]
  2%|2         | 18/781 [00:00<00:40, 18.64it/s]
  3%|2         | 20/781 [00:01<00:40, 18.82it/s]
  3%|2         | 22/781 [00:01<00:40, 18.90it/s]
  3%|3         | 24/781 [00:01<00:39, 18.95it/s]
  3%|3         | 26/781 [00:01<00:39, 19.05it/s]
  4%|3         | 28/781 [00:01<00:39, 19.15it/s]
  4%|3         | 30/781 [00:01<00:39, 19.20it/s]
  4%|4         | 32/781 [00:01<00:39, 19.12it/s]
  4%|4         | 34/781 [00:01<00:38, 19.16it/s]
  5%|4         | 36/781 [00:01<00:38, 19.21it/s]
  5%|4         | 38/781 [00:02<00:38, 19.26it/s]
  5%|5         | 40/781 [00:02<00:38, 19.29it/s]
  5%|5         | 42/781 [00:02<00:38, 19.12it/s]
  6%|5         | 44/781 [00:02<00:38, 19.04it/s]
  6%|5         | 46/781 [00:02<00:38, 18.91it/s]
  6%|6         | 48/781 [00:02<00:38, 18.87it/s]
  6%|6         | 50/781 [00:02<00:38, 18.78it/s]
  7%|6         | 52/781 [00:02<00:38, 18.88it/s]
  7%|6         | 54/781 [00:02<00:38, 18.84it/s]
  7%|7         | 56/781 [00:02<00:38, 18.93it/s]
  7%|7         | 58/781 [00:03<00:38, 19.01it/s]
  8%|7         | 60/781 [00:03<00:37, 19.00it/s]
  8%|7         | 62/781 [00:03<00:37, 18.97it/s]
  8%|8         | 64/781 [00:03<00:37, 18.93it/s]
  8%|8         | 66/781 [00:03<00:37, 18.97it/s]
  9%|8         | 68/781 [00:03<00:37, 19.05it/s]
  9%|8         | 70/781 [00:03<00:37, 19.10it/s]
  9%|9         | 72/781 [00:03<00:36, 19.21it/s]
  9%|9         | 74/781 [00:03<00:36, 19.30it/s]
 10%|9         | 76/781 [00:04<00:36, 19.31it/s]
 10%|9         | 78/781 [00:04<00:36, 19.31it/s]
 10%|#         | 80/781 [00:04<00:36, 19.30it/s]
 10%|#         | 82/781 [00:04<00:36, 19.07it/s]
 11%|#         | 84/781 [00:04<00:36, 19.16it/s]
 11%|#1        | 86/781 [00:04<00:36, 19.11it/s]
 11%|#1        | 88/781 [00:04<00:36, 19.13it/s]
 12%|#1        | 90/781 [00:04<00:36, 19.02it/s]
 12%|#1        | 92/781 [00:04<00:36, 18.90it/s]
 12%|#2        | 94/781 [00:04<00:36, 18.87it/s]
 12%|#2        | 96/781 [00:05<00:36, 18.89it/s]
 13%|#2        | 98/781 [00:05<00:36, 18.84it/s]
 13%|#2        | 100/781 [00:05<00:36, 18.91it/s]
 13%|#3        | 102/781 [00:05<00:35, 18.95it/s]
 13%|#3        | 104/781 [00:05<00:36, 18.71it/s]
 14%|#3        | 106/781 [00:05<00:36, 18.63it/s]
 14%|#3        | 108/781 [00:05<00:36, 18.65it/s]
 14%|#4        | 110/781 [00:05<00:35, 18.77it/s]
 14%|#4        | 112/781 [00:05<00:35, 18.71it/s]
 15%|#4        | 114/781 [00:06<00:35, 18.85it/s]
 15%|#4        | 116/781 [00:06<00:35, 18.67it/s]
 15%|#5        | 118/781 [00:06<00:35, 18.64it/s]
 15%|#5        | 120/781 [00:06<00:35, 18.82it/s]
 16%|#5        | 122/781 [00:06<00:35, 18.75it/s]
 16%|#5        | 124/781 [00:06<00:34, 18.85it/s]
 16%|#6        | 126/781 [00:06<00:35, 18.46it/s]
 16%|#6        | 128/781 [00:06<00:35, 18.53it/s]
 17%|#6        | 130/781 [00:06<00:34, 18.70it/s]
 17%|#6        | 132/781 [00:07<00:34, 18.78it/s]
 17%|#7        | 134/781 [00:07<00:34, 18.85it/s]
 17%|#7        | 136/781 [00:07<00:34, 18.76it/s]
 18%|#7        | 138/781 [00:07<00:34, 18.77it/s]
 18%|#7        | 140/781 [00:07<00:34, 18.79it/s]
 18%|#8        | 142/781 [00:07<00:34, 18.72it/s]
 18%|#8        | 144/781 [00:07<00:34, 18.69it/s]
 19%|#8        | 146/781 [00:07<00:33, 18.81it/s]
 19%|#8        | 148/781 [00:07<00:33, 18.80it/s]
 19%|#9        | 150/781 [00:07<00:33, 18.96it/s]
 19%|#9        | 152/781 [00:08<00:33, 18.99it/s]
 20%|#9        | 154/781 [00:08<00:33, 18.52it/s]
 20%|#9        | 156/781 [00:08<00:33, 18.72it/s]
 20%|##        | 158/781 [00:08<00:33, 18.77it/s]
 20%|##        | 160/781 [00:08<00:32, 18.83it/s]
 21%|##        | 162/781 [00:08<00:32, 18.94it/s]
 21%|##        | 164/781 [00:08<00:32, 19.04it/s]
 21%|##1       | 166/781 [00:08<00:32, 19.10it/s]
 22%|##1       | 168/781 [00:08<00:32, 19.11it/s]
 22%|##1       | 170/781 [00:09<00:32, 18.87it/s]
 22%|##2       | 172/781 [00:09<00:32, 18.80it/s]
 22%|##2       | 174/781 [00:09<00:32, 18.91it/s]
 23%|##2       | 176/781 [00:09<00:32, 18.90it/s]
 23%|##2       | 178/781 [00:09<00:32, 18.84it/s]
 23%|##3       | 180/781 [00:09<00:32, 18.67it/s]
 23%|##3       | 182/781 [00:09<00:31, 18.83it/s]
 24%|##3       | 184/781 [00:09<00:31, 18.86it/s]
 24%|##3       | 186/781 [00:09<00:31, 18.99it/s]
 24%|##4       | 188/781 [00:09<00:31, 19.05it/s]
 24%|##4       | 190/781 [00:10<00:30, 19.10it/s]
 25%|##4       | 192/781 [00:10<00:31, 18.89it/s]
 25%|##4       | 194/781 [00:10<00:30, 18.98it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.08it/s]
 25%|##5       | 198/781 [00:10<00:30, 19.11it/s]
 26%|##5       | 200/781 [00:10<00:30, 19.18it/s]
 26%|##5       | 202/781 [00:10<00:30, 19.09it/s]
 26%|##6       | 204/781 [00:10<00:30, 18.95it/s]
 26%|##6       | 206/781 [00:10<00:29, 19.18it/s]
 27%|##6       | 208/781 [00:11<00:30, 18.76it/s]
 27%|##6       | 210/781 [00:11<00:30, 18.62it/s]
 27%|##7       | 212/781 [00:11<00:30, 18.75it/s]
 27%|##7       | 214/781 [00:11<00:30, 18.88it/s]
 28%|##7       | 216/781 [00:11<00:29, 18.91it/s]
 28%|##7       | 218/781 [00:11<00:29, 19.04it/s]
 28%|##8       | 220/781 [00:11<00:29, 19.11it/s]
 28%|##8       | 222/781 [00:11<00:29, 19.00it/s]
 29%|##8       | 224/781 [00:11<00:29, 18.91it/s]
 29%|##8       | 226/781 [00:11<00:29, 19.12it/s]
 29%|##9       | 228/781 [00:12<00:28, 19.17it/s]
 29%|##9       | 230/781 [00:12<00:28, 19.26it/s]
 30%|##9       | 232/781 [00:12<00:29, 18.39it/s]
 30%|##9       | 234/781 [00:12<00:29, 18.64it/s]
 30%|###       | 236/781 [00:12<00:29, 18.60it/s]
 31%|###       | 239/781 [00:12<00:28, 19.14it/s]
 31%|###       | 241/781 [00:12<00:28, 19.23it/s]
 31%|###1      | 243/781 [00:12<00:27, 19.26it/s]
 31%|###1      | 245/781 [00:12<00:27, 19.44it/s]
 32%|###1      | 247/781 [00:13<00:27, 19.57it/s]
 32%|###1      | 249/781 [00:13<00:27, 19.57it/s]
 32%|###2      | 251/781 [00:13<00:27, 19.60it/s]
 32%|###2      | 253/781 [00:13<00:28, 18.83it/s]
 33%|###2      | 255/781 [00:13<00:27, 19.12it/s]
 33%|###3      | 258/781 [00:13<00:26, 19.47it/s]
 33%|###3      | 260/781 [00:13<00:26, 19.55it/s]
 34%|###3      | 262/781 [00:13<00:26, 19.58it/s]
 34%|###3      | 264/781 [00:13<00:26, 19.54it/s]
 34%|###4      | 266/781 [00:14<00:26, 19.45it/s]
 34%|###4      | 268/781 [00:14<00:26, 19.51it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.35it/s]
 35%|###4      | 272/781 [00:14<00:26, 19.36it/s]
 35%|###5      | 274/781 [00:14<00:26, 18.94it/s]
 35%|###5      | 276/781 [00:14<00:26, 18.97it/s]
 36%|###5      | 278/781 [00:14<00:26, 18.88it/s]
 36%|###5      | 280/781 [00:14<00:26, 19.00it/s]
 36%|###6      | 282/781 [00:14<00:26, 18.98it/s]
 36%|###6      | 284/781 [00:14<00:26, 19.08it/s]
 37%|###6      | 286/781 [00:15<00:25, 19.17it/s]
 37%|###6      | 288/781 [00:15<00:25, 19.15it/s]
 37%|###7      | 290/781 [00:15<00:25, 19.09it/s]
 37%|###7      | 292/781 [00:15<00:25, 19.02it/s]
 38%|###7      | 294/781 [00:15<00:25, 18.79it/s]
 38%|###7      | 296/781 [00:15<00:25, 18.72it/s]
 38%|###8      | 298/781 [00:15<00:25, 18.83it/s]
 38%|###8      | 300/781 [00:15<00:25, 18.74it/s]
 39%|###8      | 302/781 [00:15<00:25, 18.69it/s]
 39%|###8      | 304/781 [00:16<00:25, 18.73it/s]
 39%|###9      | 306/781 [00:16<00:25, 18.54it/s]
 39%|###9      | 308/781 [00:16<00:25, 18.71it/s]
 40%|###9      | 310/781 [00:16<00:25, 18.78it/s]
 40%|###9      | 312/781 [00:16<00:24, 18.76it/s]
 40%|####      | 314/781 [00:16<00:25, 18.54it/s]
 40%|####      | 316/781 [00:16<00:24, 18.61it/s]
 41%|####      | 318/781 [00:16<00:24, 18.61it/s]
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=======================================================   RESTART [11-19 08:39:06]   =======================================================







=======================================================   RESTART [11-19 08:39:06]   =======================================================







=======================================================   RESTART [11-19 08:39:06]   =======================================================







=======================================================   RESTART [11-19 08:39:06]   =======================================================
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')







=======================================================   RESTART [11-19 08:41:04]   =======================================================







=======================================================   RESTART [11-19 08:41:04]   =======================================================







=======================================================   RESTART [11-19 08:41:04]   =======================================================







=======================================================   RESTART [11-19 08:41:04]   =======================================================
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')







=======================================================   RESTART [11-19 08:43:27]   =======================================================







=======================================================   RESTART [11-19 08:43:27]   =======================================================







=======================================================   RESTART [11-19 08:43:27]   =======================================================







=======================================================   RESTART [11-19 08:43:27]   =======================================================
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/utils/misc.py:354: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  ckpt = torch.load(all_ckpt[0], map_location='cpu')
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
wandb: Using wandb-core as the SDK backend. Please refer to https://wandb.me/wandb-core for more information.
wandb: Currently logged in as: kaiqiu. Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.18.3
wandb: Run data is saved locally in /home/user/VAR/wandb/run-20241118_164515-b3qpsd32
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run genial-firebrand-418
wandb:  View project at https://wandb.ai/kaiqiu/VAR
wandb:  View run at https://wandb.ai/kaiqiu/VAR/runs/b3qpsd32
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x24, 24x1088)
  triton_mm_6 0.0266 ms 100.0%
  triton_mm_8 0.0266 ms 100.0%
  triton_mm_11 0.0269 ms 98.9%
  triton_mm_4 0.0270 ms 98.6%
  triton_mm_7 0.0271 ms 98.2%
  triton_mm_12 0.0272 ms 97.9%
  triton_mm_9 0.0279 ms 95.5%
  triton_mm_3 0.0282 ms 94.4%
  triton_mm_2 0.0293 ms 91.0%
  triton_mm_1 0.0299 ms 89.1%
SingleProcess AUTOTUNE benchmarking takes 2.1763 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(24x2176, 2176x1088)
  triton_mm_1676 0.0153 ms 100.0%
  mm 0.0168 ms 90.9%
  triton_mm_1680 0.0171 ms 89.2%
  triton_mm_1684 0.0206 ms 74.2%
  triton_mm_1675 0.0221 ms 69.1%
  triton_mm_1688 0.0223 ms 68.4%
  triton_mm_1674 0.0235 ms 65.1%
  triton_mm_1679 0.0250 ms 61.1%
  triton_mm_1673 0.0261 ms 58.5%
  triton_mm_1683 0.0263 ms 58.0%
SingleProcess AUTOTUNE benchmarking takes 2.2592 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2198: UserWarning: Overwriting vit_tiny_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2207: UserWarning: Overwriting vit_tiny_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_tiny_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_tiny_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2216: UserWarning: Overwriting vit_small_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2225: UserWarning: Overwriting vit_small_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2234: UserWarning: Overwriting vit_small_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2243: UserWarning: Overwriting vit_small_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2252: UserWarning: Overwriting vit_small_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2261: UserWarning: Overwriting vit_base_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2271: UserWarning: Overwriting vit_base_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2281: UserWarning: Overwriting vit_base_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2291: UserWarning: Overwriting vit_base_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2301: UserWarning: Overwriting vit_base_patch8_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch8_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch8_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2311: UserWarning: Overwriting vit_large_patch32_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2320: UserWarning: Overwriting vit_large_patch32_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch32_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch32_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2330: UserWarning: Overwriting vit_large_patch16_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2340: UserWarning: Overwriting vit_large_patch16_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2350: UserWarning: Overwriting vit_large_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2359: UserWarning: Overwriting vit_huge_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2368: UserWarning: Overwriting vit_giant_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2377: UserWarning: Overwriting vit_gigantic_patch14_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2387: UserWarning: Overwriting vit_base_patch16_224_miil in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_224_miil. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_224_miil(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2398: UserWarning: Overwriting vit_medium_patch16_gap_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2410: UserWarning: Overwriting vit_medium_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2422: UserWarning: Overwriting vit_medium_patch16_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2434: UserWarning: Overwriting vit_betwixt_patch16_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2446: UserWarning: Overwriting vit_base_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2457: UserWarning: Overwriting vit_huge_patch14_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2468: UserWarning: Overwriting vit_huge_patch16_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch16_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch16_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2479: UserWarning: Overwriting vit_giant_patch16_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch16_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch16_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2491: UserWarning: Overwriting vit_xsmall_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_xsmall_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_xsmall_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2500: UserWarning: Overwriting vit_medium_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2510: UserWarning: Overwriting vit_medium_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2519: UserWarning: Overwriting vit_betwixt_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2529: UserWarning: Overwriting vit_base_patch32_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2540: UserWarning: Overwriting vit_base_patch32_clip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2551: UserWarning: Overwriting vit_base_patch32_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2562: UserWarning: Overwriting vit_base_patch32_clip_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2573: UserWarning: Overwriting vit_base_patch16_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2583: UserWarning: Overwriting vit_base_patch16_clip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2593: UserWarning: Overwriting vit_large_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2603: UserWarning: Overwriting vit_large_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2613: UserWarning: Overwriting vit_huge_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2623: UserWarning: Overwriting vit_huge_patch14_clip_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2633: UserWarning: Overwriting vit_huge_patch14_clip_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2643: UserWarning: Overwriting vit_giant_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2656: UserWarning: Overwriting vit_gigantic_patch14_clip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_gigantic_patch14_clip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_gigantic_patch14_clip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2669: UserWarning: Overwriting vit_base_patch32_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2681: UserWarning: Overwriting vit_base_patch16_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2693: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2705: UserWarning: Overwriting vit_large_patch14_clip_quickgelu_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_clip_quickgelu_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_clip_quickgelu_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2717: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2729: UserWarning: Overwriting vit_huge_patch14_clip_quickgelu_378 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_clip_quickgelu_378. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_clip_quickgelu_378(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2743: UserWarning: Overwriting vit_base_patch32_plus_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch32_plus_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch32_plus_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2753: UserWarning: Overwriting vit_base_patch16_plus_240 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_plus_240. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_plus_240(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2763: UserWarning: Overwriting vit_base_patch16_rpn_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_rpn_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_rpn_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2775: UserWarning: Overwriting vit_small_patch16_36x1_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_36x1_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_36x1_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2787: UserWarning: Overwriting vit_small_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2800: UserWarning: Overwriting vit_base_patch16_18x2_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_18x2_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_18x2_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2812: UserWarning: Overwriting eva_large_patch14_196 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_196. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_196(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2821: UserWarning: Overwriting eva_large_patch14_336 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.eva_large_patch14_336. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def eva_large_patch14_336(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2829: UserWarning: Overwriting flexivit_small in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_small. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_small(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2838: UserWarning: Overwriting flexivit_base in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_base. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_base(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2847: UserWarning: Overwriting flexivit_large in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.flexivit_large. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def flexivit_large(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2856: UserWarning: Overwriting vit_base_patch16_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2869: UserWarning: Overwriting vit_large_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2882: UserWarning: Overwriting vit_huge_patch14_xp_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_huge_patch14_xp_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_huge_patch14_xp_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2895: UserWarning: Overwriting vit_small_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2905: UserWarning: Overwriting vit_base_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2915: UserWarning: Overwriting vit_large_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2925: UserWarning: Overwriting vit_giant_patch14_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2942: UserWarning: Overwriting vit_small_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_small_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_small_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2955: UserWarning: Overwriting vit_base_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2968: UserWarning: Overwriting vit_large_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2981: UserWarning: Overwriting vit_giant_patch14_reg4_dinov2 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_giant_patch14_reg4_dinov2. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_giant_patch14_reg4_dinov2(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:2998: UserWarning: Overwriting vit_base_patch16_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3008: UserWarning: Overwriting vit_base_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3018: UserWarning: Overwriting vit_base_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3028: UserWarning: Overwriting vit_base_patch16_siglip_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3038: UserWarning: Overwriting vit_large_patch16_siglip_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3048: UserWarning: Overwriting vit_large_patch16_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3058: UserWarning: Overwriting vit_so400m_patch14_siglip_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3068: UserWarning: Overwriting vit_so400m_patch14_siglip_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3078: UserWarning: Overwriting vit_base_patch16_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3089: UserWarning: Overwriting vit_base_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3100: UserWarning: Overwriting vit_base_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3111: UserWarning: Overwriting vit_base_patch16_siglip_gap_512 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_siglip_gap_512. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_siglip_gap_512(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3122: UserWarning: Overwriting vit_large_patch16_siglip_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3133: UserWarning: Overwriting vit_large_patch16_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_large_patch16_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_large_patch16_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3144: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_224 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_224. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_224(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3156: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_384 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_384. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_384(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3168: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_448 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_448. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_448(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3180: UserWarning: Overwriting vit_so400m_patch14_siglip_gap_896 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so400m_patch14_siglip_gap_896. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so400m_patch14_siglip_gap_896(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3192: UserWarning: Overwriting vit_wee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_wee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_wee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3203: UserWarning: Overwriting vit_pwee_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_pwee_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_pwee_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3214: UserWarning: Overwriting vit_little_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3225: UserWarning: Overwriting vit_little_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_little_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_little_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3236: UserWarning: Overwriting vit_medium_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3247: UserWarning: Overwriting vit_medium_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_medium_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_medium_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3258: UserWarning: Overwriting vit_mediumd_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_mediumd_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_mediumd_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3269: UserWarning: Overwriting vit_betwixt_patch16_reg1_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg1_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg1_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3280: UserWarning: Overwriting vit_betwixt_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_betwixt_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_betwixt_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3291: UserWarning: Overwriting vit_base_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_base_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_base_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3302: UserWarning: Overwriting vit_so150m_patch16_reg4_map_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_map_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_map_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/vision_transformer.py:3313: UserWarning: Overwriting vit_so150m_patch16_reg4_gap_256 in registry with tokenizer.tokenizer_image.dino_enc.vision_transformer.vit_so150m_patch16_reg4_gap_256. This is because the name being registered conflicts with an existing name. Please check if this is not expected.
  def vit_so150m_patch16_reg4_gap_256(pretrained: bool = False, **kwargs) -> VisionTransformer:
/home/user/VAR/train.py:99: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint = torch.load(vae_ckpt, map_location="cpu")
/home/user/VAR/utils/amp_sc.py:27: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  self.scaler = torch.cuda.amp.GradScaler(init_scale=2. ** 11, growth_interval=1000) if self.using_fp16_rather_bf16 else None # only fp16 needs a scaler
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x24, 24x1088)
  triton_mm_6 0.0267 ms 100.0%
  triton_mm_8 0.0267 ms 100.0%
  triton_mm_4 0.0268 ms 99.3%
  triton_mm_11 0.0269 ms 99.2%
  triton_mm_7 0.0271 ms 98.2%
  triton_mm_9 0.0280 ms 95.3%
  triton_mm_3 0.0280 ms 95.2%
  triton_mm_12 0.0281 ms 94.9%
  triton_mm_2 0.0282 ms 94.7%
  triton_mm_15 0.0295 ms 90.2%
SingleProcess AUTOTUNE benchmarking takes 2.1772 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(24x1088, 1088x2176)
  triton_mm_1606 0.0139 ms 100.0%
  triton_mm_1602 0.0144 ms 96.4%
  triton_mm_1610 0.0148 ms 93.9%
  triton_mm_1614 0.0159 ms 87.3%
  mm 0.0166 ms 83.8%
  triton_mm_1601 0.0167 ms 83.1%
  triton_mm_1605 0.0172 ms 80.7%
  triton_mm_1599 0.0176 ms 78.9%
  triton_mm_1600 0.0185 ms 75.0%
  triton_mm_1609 0.0188 ms 73.8%
SingleProcess AUTOTUNE benchmarking takes 2.1718 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(6864x8192, 6864x1088, 1088x8192)
  bias_addmm 0.5521 ms 100.0%
  triton_mm_1632 0.5536 ms 99.7%
  triton_mm_1631 0.5572 ms 99.1%
  triton_mm_1633 0.6283 ms 87.9%
  triton_mm_1626 0.6524 ms 84.6%
  addmm 0.6905 ms 80.0%
  triton_mm_1628 0.6911 ms 79.9%
  triton_mm_1624 0.7055 ms 78.3%
  triton_mm_1625 0.7791 ms 70.9%
  triton_mm_1629 0.7835 ms 70.5%
SingleProcess AUTOTUNE benchmarking takes 2.8303 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
AUTOTUNE mm(6840x24, 24x1088)
  triton_mm_8 0.0267 ms 100.0%
  triton_mm_9 0.0269 ms 99.0%
  triton_mm_11 0.0269 ms 99.0%
  triton_mm_4 0.0271 ms 98.6%
  triton_mm_12 0.0272 ms 98.1%
  triton_mm_7 0.0274 ms 97.5%
  triton_mm_6 0.0279 ms 95.5%
  triton_mm_2 0.0284 ms 94.0%
  triton_mm_3 0.0295 ms 90.6%
  triton_mm_15 0.0295 ms 90.6%
SingleProcess AUTOTUNE benchmarking takes 2.1824 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   2%|2         | 1/44 [01:13<52:44, 73.59s/it]AUTOTUNE mm(36x1088, 1088x2176)
  triton_mm_6447 0.0214 ms 100.0%
  triton_mm_6448 0.0227 ms 94.4%
  triton_mm_6452 0.0231 ms 92.5%
  mm 0.0235 ms 91.0%
  triton_mm_6459 0.0246 ms 87.0%
  triton_mm_6446 0.0258 ms 83.0%
  triton_mm_6456 0.0268 ms 79.9%
  triton_mm_6458 0.0273 ms 78.5%
  triton_mm_6455 0.0291 ms 73.6%
  triton_mm_6454 0.0315 ms 67.9%
SingleProcess AUTOTUNE benchmarking takes 1.6917 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x8192, 10296x1088, 1088x8192)
  triton_mm_6516 1.5431 ms 100.0%
  bias_addmm 1.5513 ms 99.5%
  triton_mm_6513 1.8593 ms 83.0%
  triton_mm_6509 1.9129 ms 80.7%
  addmm 1.9440 ms 79.4%
  triton_mm_6517 2.0056 ms 76.9%
  triton_mm_6514 2.0928 ms 73.7%
  triton_mm_6510 2.0953 ms 73.6%
  triton_mm_6511 2.1518 ms 71.7%
  triton_mm_6506 2.5378 ms 60.8%
SingleProcess AUTOTUNE benchmarking takes 2.4925 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   2%|2         | 1/44 [01:13<52:44, 73.59s/it]AUTOTUNE mm(36x1088, 1088x6528)
  mm 0.0381 ms 100.0%
  triton_mm_4892 0.0384 ms 99.2%
  triton_mm_4896 0.0386 ms 98.8%
  triton_mm_4899 0.0387 ms 98.6%
  triton_mm_4895 0.0393 ms 97.0%
  triton_mm_4898 0.0405 ms 94.1%
  triton_mm_4887 0.0410 ms 93.0%
  triton_mm_4894 0.0413 ms 92.4%
  triton_mm_4888 0.0459 ms 83.0%
  triton_mm_4891 0.0519 ms 73.4%
SingleProcess AUTOTUNE benchmarking takes 1.7211 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10260x24, 24x1088)
  triton_mm_4909 0.0336 ms 100.0%
  triton_mm_4913 0.0354 ms 94.9%
  triton_mm_4914 0.0357 ms 94.0%
  triton_mm_4906 0.0358 ms 93.8%
  triton_mm_4908 0.0358 ms 93.7%
  triton_mm_4910 0.0360 ms 93.4%
  triton_mm_4911 0.0364 ms 92.3%
  triton_mm_4905 0.0381 ms 88.2%
  triton_mm_4918 0.0381 ms 88.1%
  triton_mm_4916 0.0382 ms 88.0%
SingleProcess AUTOTUNE benchmarking takes 2.1896 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3264, 10296x1088, 1088x3264)
  triton_mm_4935 0.6328 ms 100.0%
  bias_addmm 0.6419 ms 98.6%
  triton_mm_4932 0.7392 ms 85.6%
  triton_mm_4928 0.7530 ms 84.0%
  addmm 0.7940 ms 79.7%
  triton_mm_4933 0.8275 ms 76.5%
  triton_mm_4936 0.8292 ms 76.3%
  triton_mm_4929 0.8349 ms 75.8%
  triton_mm_4930 0.8603 ms 73.6%
  triton_mm_4925 0.9949 ms 63.6%
SingleProcess AUTOTUNE benchmarking takes 2.3302 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x1088)
  triton_mm_4954 0.2214 ms 100.0%
  mm 0.2342 ms 94.5%
  triton_mm_4951 0.2522 ms 87.8%
  triton_mm_4947 0.2652 ms 83.5%
  triton_mm_4952 0.2772 ms 79.8%
  triton_mm_4955 0.2881 ms 76.8%
  triton_mm_4948 0.2924 ms 75.7%
  triton_mm_4949 0.3057 ms 72.4%
  triton_mm_4944 0.3403 ms 65.0%
  triton_mm_4945 0.3512 ms 63.0%
SingleProcess AUTOTUNE benchmarking takes 2.1131 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x4352, 4352x1088)
  triton_mm_5009 0.8285 ms 100.0%
  mm 0.8696 ms 95.3%
  triton_mm_5010 0.9891 ms 83.8%
  triton_mm_5006 1.0086 ms 82.1%
  triton_mm_5002 1.0393 ms 79.7%
  triton_mm_5007 1.0639 ms 77.9%
  triton_mm_5003 1.1121 ms 74.5%
  triton_mm_5004 1.1184 ms 74.1%
  triton_mm_4999 1.3423 ms 61.7%
  triton_mm_5000 1.3633 ms 60.8%
SingleProcess AUTOTUNE benchmarking takes 2.2280 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x6528)
  mm 0.0367 ms 100.0%
  triton_mm_5615 0.0378 ms 97.0%
  triton_mm_5622 0.0387 ms 94.8%
  triton_mm_5619 0.0388 ms 94.7%
  triton_mm_5618 0.0392 ms 93.7%
  triton_mm_5621 0.0405 ms 90.5%
  triton_mm_5617 0.0413 ms 88.9%
  triton_mm_5610 0.0414 ms 88.7%
  triton_mm_5611 0.0459 ms 80.0%
  triton_mm_5614 0.0511 ms 71.9%
SingleProcess AUTOTUNE benchmarking takes 1.6500 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x4352, 4352x1088)
  triton_mm_5660 0.8281 ms 100.0%
  mm 0.8661 ms 95.6%
  triton_mm_5661 0.9879 ms 83.8%
  triton_mm_5657 1.0082 ms 82.1%
  triton_mm_5653 1.0427 ms 79.4%
  triton_mm_5658 1.0621 ms 78.0%
  triton_mm_5654 1.1106 ms 74.6%
  triton_mm_5655 1.1261 ms 73.5%
  triton_mm_5650 1.3355 ms 62.0%
  triton_mm_5651 1.3603 ms 60.9%
SingleProcess AUTOTUNE benchmarking takes 2.1493 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3264, 10296x1088, 1088x3264)
  triton_mm_5679 0.6331 ms 100.0%
  bias_addmm 0.6374 ms 99.3%
  triton_mm_5676 0.7415 ms 85.4%
  triton_mm_5672 0.7579 ms 83.5%
  addmm 0.7944 ms 79.7%
  triton_mm_5680 0.8303 ms 76.3%
  triton_mm_5677 0.8325 ms 76.0%
  triton_mm_5673 0.8406 ms 75.3%
  triton_mm_5674 0.8694 ms 72.8%
  triton_mm_5669 1.0038 ms 63.1%
SingleProcess AUTOTUNE benchmarking takes 2.2349 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x1088)
  triton_mm_5698 0.2230 ms 100.0%
  mm 0.2342 ms 95.2%
  triton_mm_5695 0.2537 ms 87.9%
  triton_mm_5691 0.2669 ms 83.5%
  triton_mm_5696 0.2780 ms 80.2%
  triton_mm_5699 0.2882 ms 77.4%
  triton_mm_5692 0.2938 ms 75.9%
  triton_mm_5693 0.3059 ms 72.9%
  triton_mm_5688 0.3402 ms 65.5%
  triton_mm_5689 0.3514 ms 63.5%
SingleProcess AUTOTUNE benchmarking takes 2.0104 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x2176)
  triton_mm_6447 0.0209 ms 100.0%
  triton_mm_6448 0.0219 ms 95.3%
  mm 0.0219 ms 95.2%
  triton_mm_6452 0.0235 ms 88.9%
  triton_mm_6459 0.0258 ms 81.0%
  triton_mm_6446 0.0265 ms 78.7%
  triton_mm_6456 0.0271 ms 77.0%
  triton_mm_6458 0.0286 ms 73.0%
  triton_mm_6455 0.0293 ms 71.2%
  triton_mm_6454 0.0310 ms 67.2%
SingleProcess AUTOTUNE benchmarking takes 1.7046 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x8192, 10296x1088, 1088x8192)
  triton_mm_6516 1.5277 ms 100.0%
  bias_addmm 1.5583 ms 98.0%
  triton_mm_6513 1.8536 ms 82.4%
  triton_mm_6509 1.8809 ms 81.2%
  addmm 1.9126 ms 79.9%
  triton_mm_6517 2.0097 ms 76.0%
  triton_mm_6514 2.0707 ms 73.8%
  triton_mm_6510 2.0746 ms 73.6%
  triton_mm_6511 2.1336 ms 71.6%
  triton_mm_6506 2.5111 ms 60.8%
SingleProcess AUTOTUNE benchmarking takes 2.4672 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   2%|2         | 1/44 [01:13<52:45, 73.61s/it]AUTOTUNE mm(36x1088, 1088x6528)
  mm 0.0379 ms 100.0%
  triton_mm_4896 0.0382 ms 99.2%
  triton_mm_4895 0.0383 ms 98.8%
  triton_mm_4892 0.0384 ms 98.6%
  triton_mm_4899 0.0390 ms 97.1%
  triton_mm_4898 0.0408 ms 92.9%
  triton_mm_4887 0.0412 ms 92.1%
  triton_mm_4894 0.0414 ms 91.5%
  triton_mm_4888 0.0459 ms 82.5%
  triton_mm_4886 0.0514 ms 73.8%
SingleProcess AUTOTUNE benchmarking takes 1.7124 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10260x24, 24x1088)
  triton_mm_4914 0.0350 ms 100.0%
  triton_mm_4909 0.0352 ms 99.5%
  triton_mm_4906 0.0359 ms 97.6%
  triton_mm_4910 0.0362 ms 96.8%
  triton_mm_4908 0.0364 ms 96.3%
  triton_mm_4911 0.0367 ms 95.4%
  triton_mm_4913 0.0367 ms 95.3%
  triton_mm_4912 0.0380 ms 92.1%
  triton_mm_4905 0.0381 ms 91.8%
  triton_mm_4904 0.0382 ms 91.5%
SingleProcess AUTOTUNE benchmarking takes 2.1825 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x3264, 10296x1088, 1088x3264)
  triton_mm_4935 0.6474 ms 100.0%
  bias_addmm 0.6522 ms 99.3%
  triton_mm_4932 0.7614 ms 85.0%
  triton_mm_4928 0.7723 ms 83.8%
  addmm 0.8071 ms 80.2%
  triton_mm_4936 0.8480 ms 76.3%
  triton_mm_4933 0.8552 ms 75.7%
  triton_mm_4929 0.8595 ms 75.3%
  triton_mm_4930 0.8826 ms 73.3%
  triton_mm_4925 1.0246 ms 63.2%
SingleProcess AUTOTUNE benchmarking takes 2.3434 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x1088, 1088x1088)
  triton_mm_4954 0.2253 ms 100.0%
  mm 0.2393 ms 94.2%
  triton_mm_4951 0.2568 ms 87.8%
  triton_mm_4947 0.2698 ms 83.5%
  triton_mm_4952 0.2818 ms 80.0%
  triton_mm_4955 0.2898 ms 77.8%
  triton_mm_4948 0.2983 ms 75.5%
  triton_mm_4949 0.3089 ms 73.0%
  triton_mm_4944 0.3452 ms 65.3%
  triton_mm_4945 0.3541 ms 63.6%
SingleProcess AUTOTUNE benchmarking takes 2.1142 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(10296x4352, 4352x1088)
  triton_mm_5009 0.8476 ms 100.0%
  mm 0.8849 ms 95.8%
  triton_mm_5010 1.0160 ms 83.4%
  triton_mm_5006 1.0257 ms 82.6%
  triton_mm_5002 1.0639 ms 79.7%
  triton_mm_5007 1.0853 ms 78.1%
  triton_mm_5004 1.1381 ms 74.5%
  triton_mm_5003 1.1444 ms 74.1%
  triton_mm_4999 1.3626 ms 62.2%
  triton_mm_5000 1.3916 ms 60.9%
SingleProcess AUTOTUNE benchmarking takes 2.2250 seconds and 0.0000 seconds precompiling
AUTOTUNE mm(36x1088, 1088x2176)
  triton_mm_6447 0.0219 ms 100.0%
  mm 0.0220 ms 99.4%
  triton_mm_6448 0.0228 ms 96.0%
  triton_mm_6452 0.0247 ms 88.7%
  triton_mm_6459 0.0258 ms 85.1%
  triton_mm_6456 0.0261 ms 83.9%
  triton_mm_6446 0.0266 ms 82.4%
  triton_mm_6455 0.0284 ms 77.3%
  triton_mm_6458 0.0285 ms 76.8%
  triton_mm_6454 0.0311 ms 70.5%
SingleProcess AUTOTUNE benchmarking takes 1.7031 seconds and 0.0000 seconds precompiling
AUTOTUNE addmm(10296x8192, 10296x1088, 1088x8192)
  triton_mm_6516 1.5614 ms 100.0%
  bias_addmm 1.5730 ms 99.3%
  triton_mm_6513 1.8845 ms 82.9%
  triton_mm_6509 1.9273 ms 81.0%
  addmm 1.9694 ms 79.3%
  triton_mm_6517 2.0285 ms 77.0%
  triton_mm_6514 2.1192 ms 73.7%
  triton_mm_6510 2.1218 ms 73.6%
  triton_mm_6511 2.1833 ms 71.5%
  triton_mm_6506 2.5627 ms 60.9%
SingleProcess AUTOTUNE benchmarking takes 2.4946 seconds and 0.0000 seconds precompiling
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   2%|2         | 1/44 [01:13<52:49, 73.70s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   5%|4         | 2/44 [01:16<22:14, 31.77s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   5%|4         | 2/44 [01:16<22:14, 31.77s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   5%|4         | 2/44 [01:16<22:14, 31.78s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   5%|4         | 2/44 [01:16<22:16, 31.82s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   7%|6         | 3/44 [01:17<12:05, 17.71s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   7%|6         | 3/44 [01:17<12:06, 17.71s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   7%|6         | 3/44 [01:17<12:06, 17.71s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress:   7%|6         | 3/44 [01:17<12:07, 17.73s/it]
Validation Progress:   9%|9         | 4/44 [01:18<07:24, 11.11s/it]
Validation Progress:   9%|9         | 4/44 [01:18<07:24, 11.11s/it]
Validation Progress:   9%|9         | 4/44 [01:18<07:24, 11.11s/it]
Validation Progress:   9%|9         | 4/44 [01:18<07:25, 11.13s/it]
Validation Progress:  11%|#1        | 5/44 [01:19<04:53,  7.53s/it]
Validation Progress:  11%|#1        | 5/44 [01:19<04:53,  7.53s/it]
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Validation Progress:  11%|#1        | 5/44 [01:19<04:53,  7.54s/it]
Validation Progress:  14%|#3        | 6/44 [01:20<03:20,  5.28s/it]
Validation Progress:  14%|#3        | 6/44 [01:20<03:20,  5.28s/it]
Validation Progress:  14%|#3        | 6/44 [01:20<03:20,  5.28s/it]
Validation Progress:  14%|#3        | 6/44 [01:20<03:20,  5.28s/it]
Validation Progress:  16%|#5        | 7/44 [01:21<02:24,  3.90s/it]
Validation Progress:  16%|#5        | 7/44 [01:21<02:24,  3.90s/it]
Validation Progress:  16%|#5        | 7/44 [01:21<02:24,  3.90s/it]
Validation Progress:  16%|#5        | 7/44 [01:21<02:24,  3.90s/it]
Validation Progress:  18%|#8        | 8/44 [01:22<01:46,  2.96s/it]
Validation Progress:  18%|#8        | 8/44 [01:22<01:46,  2.96s/it]
Validation Progress:  18%|#8        | 8/44 [01:22<01:46,  2.96s/it]
Validation Progress:  18%|#8        | 8/44 [01:22<01:46,  2.97s/it]
Validation Progress:  20%|##        | 9/44 [01:23<01:21,  2.34s/it]
Validation Progress:  20%|##        | 9/44 [01:23<01:21,  2.34s/it]
Validation Progress:  20%|##        | 9/44 [01:23<01:21,  2.34s/it]
Validation Progress:  20%|##        | 9/44 [01:23<01:21,  2.34s/it]
Validation Progress:  23%|##2       | 10/44 [01:24<01:04,  1.91s/it]
Validation Progress:  23%|##2       | 10/44 [01:24<01:04,  1.91s/it]
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Validation Progress:  23%|##2       | 10/44 [01:24<01:04,  1.91s/it]
Validation Progress:  25%|##5       | 11/44 [01:24<00:53,  1.61s/it]
Validation Progress:  25%|##5       | 11/44 [01:24<00:52,  1.61s/it]
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Validation Progress:  25%|##5       | 11/44 [01:25<00:54,  1.64s/it]
Validation Progress:  27%|##7       | 12/44 [01:26<00:46,  1.45s/it]
Validation Progress:  27%|##7       | 12/44 [01:26<00:45,  1.41s/it]
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Validation Progress:  27%|##7       | 12/44 [01:26<00:45,  1.43s/it]
Validation Progress:  30%|##9       | 13/44 [01:27<00:40,  1.29s/it]
Validation Progress:  30%|##9       | 13/44 [01:27<00:40,  1.32s/it]
Validation Progress:  30%|##9       | 13/44 [01:27<00:40,  1.31s/it]
Validation Progress:  30%|##9       | 13/44 [01:27<00:40,  1.32s/it]
Validation Progress:  32%|###1      | 14/44 [01:28<00:37,  1.24s/it]
Validation Progress:  32%|###1      | 14/44 [01:28<00:37,  1.24s/it]
Validation Progress:  32%|###1      | 14/44 [01:28<00:36,  1.22s/it]
Validation Progress:  32%|###1      | 14/44 [01:28<00:36,  1.23s/it]
Validation Progress:  34%|###4      | 15/44 [01:29<00:36,  1.27s/it]
Validation Progress:  34%|###4      | 15/44 [01:29<00:36,  1.26s/it]
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Validation Progress:  34%|###4      | 15/44 [01:29<00:36,  1.27s/it]
Validation Progress:  36%|###6      | 16/44 [01:30<00:33,  1.21s/it]
Validation Progress:  36%|###6      | 16/44 [01:30<00:33,  1.21s/it]
Validation Progress:  36%|###6      | 16/44 [01:30<00:33,  1.21s/it]
Validation Progress:  36%|###6      | 16/44 [01:30<00:33,  1.21s/it]
Validation Progress:  39%|###8      | 17/44 [01:31<00:30,  1.14s/it]
Validation Progress:  39%|###8      | 17/44 [01:31<00:30,  1.14s/it]
Validation Progress:  39%|###8      | 17/44 [01:31<00:30,  1.14s/it]
Validation Progress:  39%|###8      | 17/44 [01:31<00:30,  1.13s/it]
Validation Progress:  41%|####      | 18/44 [01:32<00:30,  1.18s/it]
Validation Progress:  41%|####      | 18/44 [01:32<00:30,  1.18s/it]
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Validation Progress:  41%|####      | 18/44 [01:32<00:30,  1.18s/it]
Validation Progress:  43%|####3     | 19/44 [01:33<00:28,  1.15s/it]
Validation Progress:  43%|####3     | 19/44 [01:33<00:28,  1.15s/it]
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Validation Progress:  43%|####3     | 19/44 [01:33<00:28,  1.15s/it]
Validation Progress:  45%|####5     | 20/44 [01:34<00:26,  1.12s/it]
Validation Progress:  45%|####5     | 20/44 [01:34<00:26,  1.12s/it]
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Validation Progress:  45%|####5     | 20/44 [01:34<00:26,  1.12s/it]
Validation Progress:  48%|####7     | 21/44 [01:36<00:25,  1.10s/it]
Validation Progress:  48%|####7     | 21/44 [01:36<00:25,  1.10s/it]
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Validation Progress:  48%|####7     | 21/44 [01:36<00:25,  1.10s/it]
Validation Progress:  50%|#####     | 22/44 [01:37<00:24,  1.12s/it]
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Validation Progress:  52%|#####2    | 23/44 [01:38<00:24,  1.16s/it]
Validation Progress:  52%|#####2    | 23/44 [01:38<00:24,  1.16s/it]
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Validation Progress:  52%|#####2    | 23/44 [01:38<00:24,  1.16s/it]
Validation Progress:  55%|#####4    | 24/44 [01:39<00:22,  1.13s/it]
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Validation Progress:  55%|#####4    | 24/44 [01:39<00:22,  1.13s/it]
Validation Progress:  57%|#####6    | 25/44 [01:40<00:21,  1.14s/it]
Validation Progress:  57%|#####6    | 25/44 [01:40<00:21,  1.14s/it]
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Validation Progress:  57%|#####6    | 25/44 [01:40<00:21,  1.14s/it]
Validation Progress:  59%|#####9    | 26/44 [01:41<00:20,  1.13s/it]
Validation Progress:  59%|#####9    | 26/44 [01:41<00:20,  1.12s/it]
Validation Progress:  59%|#####9    | 26/44 [01:41<00:20,  1.12s/it]
Validation Progress:  59%|#####9    | 26/44 [01:41<00:20,  1.13s/it]
Validation Progress:  61%|######1   | 27/44 [01:42<00:19,  1.15s/it]
Validation Progress:  61%|######1   | 27/44 [01:42<00:19,  1.15s/it]
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Validation Progress:  61%|######1   | 27/44 [01:42<00:19,  1.15s/it]
Validation Progress:  64%|######3   | 28/44 [01:44<00:18,  1.13s/it]
Validation Progress:  64%|######3   | 28/44 [01:44<00:18,  1.13s/it]
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Validation Progress:  64%|######3   | 28/44 [01:44<00:18,  1.13s/it]
Validation Progress:  66%|######5   | 29/44 [01:45<00:16,  1.12s/it]
Validation Progress:  66%|######5   | 29/44 [01:45<00:16,  1.12s/it]
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Validation Progress:  66%|######5   | 29/44 [01:45<00:16,  1.12s/it]
Validation Progress:  68%|######8   | 30/44 [01:46<00:15,  1.13s/it]
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Validation Progress:  68%|######8   | 30/44 [01:46<00:15,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [01:47<00:14,  1.11s/it]
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Validation Progress:  73%|#######2  | 32/44 [01:48<00:13,  1.09s/it]
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Validation Progress:  77%|#######7  | 34/44 [01:50<00:11,  1.15s/it]
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Validation Progress:  77%|#######7  | 34/44 [01:50<00:11,  1.16s/it]
Validation Progress:  80%|#######9  | 35/44 [01:51<00:10,  1.14s/it]
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Validation Progress:  82%|########1 | 36/44 [01:53<00:09,  1.15s/it]
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Validation Progress:  84%|########4 | 37/44 [01:54<00:08,  1.19s/it]
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Validation Progress:  86%|########6 | 38/44 [01:55<00:07,  1.19s/it]
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Validation Progress:  86%|########6 | 38/44 [01:55<00:07,  1.19s/it]
Validation Progress:  89%|########8 | 39/44 [01:56<00:05,  1.15s/it]
Validation Progress:  89%|########8 | 39/44 [01:56<00:05,  1.15s/it]
Validation Progress:  89%|########8 | 39/44 [01:56<00:05,  1.15s/it]
Validation Progress:  89%|########8 | 39/44 [01:56<00:05,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [01:57<00:04,  1.14s/it]
Validation Progress:  91%|######### | 40/44 [01:57<00:04,  1.14s/it]
Validation Progress:  91%|######### | 40/44 [01:57<00:04,  1.14s/it]
Validation Progress:  91%|######### | 40/44 [01:57<00:04,  1.14s/it]
Validation Progress:  93%|#########3| 41/44 [01:58<00:03,  1.18s/it]
Validation Progress:  93%|#########3| 41/44 [01:58<00:03,  1.18s/it]
Validation Progress:  93%|#########3| 41/44 [01:58<00:03,  1.18s/it]
Validation Progress:  93%|#########3| 41/44 [01:58<00:03,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [02:00<00:02,  1.16s/it]
Validation Progress:  95%|#########5| 42/44 [02:00<00:02,  1.16s/it]
Validation Progress:  95%|#########5| 42/44 [02:00<00:02,  1.16s/it]
Validation Progress:  95%|#########5| 42/44 [02:00<00:02,  1.16s/it]
Validation Progress:  98%|#########7| 43/44 [02:01<00:01,  1.17s/it]
Validation Progress:  98%|#########7| 43/44 [02:01<00:01,  1.17s/it]
Validation Progress:  98%|#########7| 43/44 [02:01<00:01,  1.17s/it]
Validation Progress:  98%|#########7| 43/44 [02:01<00:01,  1.18s/it]
Validation Progress: 100%|##########| 44/44 [02:02<00:00,  1.06s/it]
Validation Progress: 100%|##########| 44/44 [02:02<00:00,  1.06s/it]
Validation Progress: 100%|##########| 44/44 [02:02<00:00,  2.77s/it]
Validation Progress: 100%|##########| 44/44 [02:02<00:00,  2.77s/it]
Validation Progress: 100%|##########| 44/44 [02:02<00:00,  1.06s/it]
Validation Progress: 100%|##########| 44/44 [02:02<00:00,  2.77s/it]
Validation Progress: 100%|##########| 44/44 [02:02<00:00,  1.07s/it]
Validation Progress: 100%|##########| 44/44 [02:02<00:00,  2.78s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:03<00:00,  3.55s/it]
100%|##########| 1/1 [00:03<00:00,  3.55s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:01<03:06,  1.19s/it]
  2%|1         | 3/157 [00:01<00:53,  2.85it/s]
  3%|3         | 5/157 [00:01<00:30,  5.05it/s]
  4%|4         | 7/157 [00:01<00:20,  7.29it/s]
  6%|5         | 9/157 [00:01<00:15,  9.44it/s]
  7%|7         | 11/157 [00:01<00:12, 11.38it/s]
  8%|8         | 13/157 [00:01<00:11, 12.79it/s]
 10%|9         | 15/157 [00:01<00:09, 14.21it/s]
 11%|#         | 17/157 [00:02<00:09, 15.41it/s]
 12%|#2        | 19/157 [00:02<00:08, 16.30it/s]
 13%|#3        | 21/157 [00:02<00:08, 16.42it/s]
 15%|#4        | 23/157 [00:02<00:07, 17.04it/s]
 16%|#5        | 25/157 [00:02<00:07, 17.47it/s]
 17%|#7        | 27/157 [00:02<00:07, 17.95it/s]
 18%|#8        | 29/157 [00:02<00:06, 18.31it/s]
 20%|#9        | 31/157 [00:02<00:06, 18.33it/s]
 21%|##1       | 33/157 [00:02<00:06, 18.52it/s]
 22%|##2       | 35/157 [00:03<00:06, 18.50it/s]
 24%|##3       | 37/157 [00:03<00:06, 17.55it/s]
 25%|##4       | 39/157 [00:03<00:06, 17.79it/s]
 26%|##6       | 41/157 [00:03<00:06, 17.92it/s]
 27%|##7       | 43/157 [00:03<00:06, 18.10it/s]
 29%|##8       | 45/157 [00:03<00:06, 18.26it/s]
 30%|##9       | 47/157 [00:03<00:06, 18.21it/s]
 31%|###1      | 49/157 [00:03<00:05, 18.31it/s]
 32%|###2      | 51/157 [00:03<00:05, 18.40it/s]
 34%|###3      | 53/157 [00:04<00:05, 18.42it/s]
 35%|###5      | 55/157 [00:04<00:05, 18.62it/s]
 36%|###6      | 57/157 [00:04<00:05, 18.77it/s]
 38%|###7      | 59/157 [00:04<00:05, 18.88it/s]
 39%|###8      | 61/157 [00:04<00:05, 18.95it/s]
 40%|####      | 63/157 [00:04<00:04, 18.81it/s]
 41%|####1     | 65/157 [00:04<00:04, 18.78it/s]
 43%|####2     | 67/157 [00:04<00:04, 18.74it/s]
 44%|####3     | 69/157 [00:04<00:05, 17.09it/s]
 45%|####5     | 71/157 [00:05<00:04, 17.51it/s]
 46%|####6     | 73/157 [00:05<00:04, 17.81it/s]
 48%|####7     | 75/157 [00:05<00:04, 18.05it/s]
 49%|####9     | 77/157 [00:05<00:04, 18.29it/s]
 50%|#####     | 79/157 [00:05<00:04, 18.48it/s]
 52%|#####1    | 81/157 [00:05<00:04, 18.63it/s]
 53%|#####2    | 83/157 [00:05<00:03, 18.66it/s]
 54%|#####4    | 85/157 [00:05<00:03, 18.70it/s]
 55%|#####5    | 87/157 [00:05<00:03, 18.74it/s]
 57%|#####6    | 89/157 [00:05<00:03, 18.79it/s]
 58%|#####7    | 91/157 [00:06<00:03, 18.79it/s]
 59%|#####9    | 93/157 [00:06<00:03, 18.77it/s]
 61%|######    | 95/157 [00:06<00:03, 18.83it/s]
 62%|######1   | 97/157 [00:06<00:03, 18.87it/s]
 63%|######3   | 99/157 [00:06<00:03, 18.87it/s]
 64%|######4   | 101/157 [00:06<00:02, 18.90it/s]
 66%|######5   | 103/157 [00:06<00:02, 18.94it/s]
 67%|######6   | 105/157 [00:06<00:02, 18.96it/s]
 68%|######8   | 107/157 [00:06<00:02, 18.98it/s]
 69%|######9   | 109/157 [00:07<00:02, 19.00it/s]
 71%|#######   | 111/157 [00:07<00:02, 19.02it/s]
 72%|#######1  | 113/157 [00:07<00:02, 19.01it/s]
 73%|#######3  | 115/157 [00:07<00:02, 18.85it/s]
 75%|#######4  | 117/157 [00:07<00:02, 18.87it/s]
 76%|#######5  | 119/157 [00:07<00:02, 18.90it/s]
 77%|#######7  | 121/157 [00:07<00:01, 18.96it/s]
 78%|#######8  | 123/157 [00:07<00:01, 18.98it/s]
 80%|#######9  | 125/157 [00:07<00:01, 19.03it/s]
 81%|########  | 127/157 [00:07<00:01, 19.03it/s]
 82%|########2 | 129/157 [00:08<00:01, 19.05it/s]
 83%|########3 | 131/157 [00:08<00:01, 19.03it/s]
 85%|########4 | 133/157 [00:08<00:01, 15.99it/s]
 86%|########5 | 135/157 [00:08<00:01, 16.72it/s]
 87%|########7 | 137/157 [00:08<00:01, 17.33it/s]
 89%|########8 | 139/157 [00:08<00:01, 17.81it/s]
 90%|########9 | 141/157 [00:08<00:00, 18.15it/s]
 91%|#########1| 143/157 [00:08<00:00, 18.42it/s]
 92%|#########2| 145/157 [00:09<00:00, 18.59it/s]
 94%|#########3| 147/157 [00:09<00:00, 18.67it/s]
 95%|#########4| 149/157 [00:09<00:00, 18.78it/s]
 96%|#########6| 151/157 [00:09<00:00, 18.83it/s]
 97%|#########7| 153/157 [00:09<00:00, 18.86it/s]
 99%|#########8| 155/157 [00:09<00:00, 18.93it/s]
100%|##########| 157/157 [00:10<00:00,  6.67it/s]
100%|##########| 157/157 [00:10<00:00, 15.26it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 3/781 [00:00<00:37, 21.00it/s]
  1%|          | 6/781 [00:00<00:36, 21.10it/s]
  1%|1         | 9/781 [00:00<00:36, 21.15it/s]
  2%|1         | 12/781 [00:00<00:36, 21.19it/s]
  2%|1         | 15/781 [00:00<00:36, 21.24it/s]
  2%|2         | 18/781 [00:00<00:35, 21.32it/s]
  3%|2         | 21/781 [00:00<00:35, 21.37it/s]
  3%|3         | 24/781 [00:01<00:35, 21.44it/s]
  3%|3         | 27/781 [00:01<00:35, 21.43it/s]
  4%|3         | 30/781 [00:01<00:34, 21.48it/s]
  4%|4         | 33/781 [00:01<00:34, 21.50it/s]
  5%|4         | 36/781 [00:01<00:34, 21.51it/s]
  5%|4         | 39/781 [00:01<00:34, 21.50it/s]
  5%|5         | 42/781 [00:01<00:34, 21.50it/s]
  6%|5         | 45/781 [00:02<00:34, 21.51it/s]
  6%|6         | 48/781 [00:02<00:34, 21.46it/s]
  7%|6         | 51/781 [00:02<00:34, 21.38it/s]
  7%|6         | 54/781 [00:02<00:33, 21.38it/s]
  7%|7         | 57/781 [00:02<00:35, 20.47it/s]
  8%|7         | 60/781 [00:02<00:35, 20.21it/s]
  8%|8         | 63/781 [00:02<00:35, 20.38it/s]
  8%|8         | 66/781 [00:03<00:35, 20.04it/s]
  9%|8         | 69/781 [00:03<00:36, 19.40it/s]
  9%|9         | 71/781 [00:03<00:36, 19.44it/s]
  9%|9         | 74/781 [00:03<00:35, 19.91it/s]
 10%|9         | 76/781 [00:03<00:35, 19.78it/s]
 10%|#         | 79/781 [00:03<00:34, 20.26it/s]
 10%|#         | 82/781 [00:03<00:34, 20.20it/s]
 11%|#         | 85/781 [00:04<00:33, 20.54it/s]
 11%|#1        | 88/781 [00:04<00:33, 20.81it/s]
 12%|#1        | 91/781 [00:04<00:32, 20.96it/s]
 12%|#2        | 94/781 [00:04<00:33, 20.43it/s]
 12%|#2        | 97/781 [00:04<00:33, 20.21it/s]
 13%|#2        | 100/781 [00:04<00:33, 20.53it/s]
 13%|#3        | 103/781 [00:04<00:33, 20.39it/s]
 14%|#3        | 106/781 [00:05<00:32, 20.71it/s]
 14%|#3        | 109/781 [00:05<00:33, 20.26it/s]
 14%|#4        | 112/781 [00:05<00:33, 19.84it/s]
 15%|#4        | 115/781 [00:05<00:33, 20.14it/s]
 15%|#5        | 118/781 [00:05<00:32, 20.52it/s]
 15%|#5        | 121/781 [00:05<00:32, 20.52it/s]
 16%|#5        | 124/781 [00:05<00:32, 20.25it/s]
 16%|#6        | 127/781 [00:06<00:31, 20.56it/s]
 17%|#6        | 130/781 [00:06<00:31, 20.82it/s]
 17%|#7        | 133/781 [00:06<00:30, 21.02it/s]
 17%|#7        | 136/781 [00:06<00:30, 21.15it/s]
 18%|#7        | 139/781 [00:06<00:30, 20.93it/s]
 18%|#8        | 142/781 [00:06<00:30, 20.76it/s]
 19%|#8        | 145/781 [00:07<00:31, 20.38it/s]
 19%|#8        | 148/781 [00:07<00:30, 20.46it/s]
 19%|#9        | 151/781 [00:07<00:30, 20.73it/s]
 20%|#9        | 154/781 [00:07<00:29, 20.94it/s]
 20%|##        | 157/781 [00:07<00:29, 21.09it/s]
 20%|##        | 160/781 [00:07<00:29, 20.80it/s]
 21%|##        | 163/781 [00:07<00:29, 20.99it/s]
 21%|##1       | 166/781 [00:08<00:29, 20.75it/s]
 22%|##1       | 169/781 [00:08<00:29, 20.53it/s]
 22%|##2       | 172/781 [00:08<00:29, 20.58it/s]
 22%|##2       | 175/781 [00:08<00:30, 19.93it/s]
 23%|##2       | 178/781 [00:08<00:30, 20.02it/s]
 23%|##3       | 181/781 [00:08<00:29, 20.27it/s]
 24%|##3       | 184/781 [00:08<00:29, 20.57it/s]
 24%|##3       | 187/781 [00:09<00:28, 20.83it/s]
 24%|##4       | 190/781 [00:09<00:28, 20.58it/s]
 25%|##4       | 193/781 [00:09<00:28, 20.79it/s]
 25%|##5       | 196/781 [00:09<00:29, 20.12it/s]
 25%|##5       | 199/781 [00:09<00:29, 19.58it/s]
 26%|##5       | 202/781 [00:09<00:29, 19.85it/s]
 26%|##6       | 205/781 [00:09<00:29, 19.82it/s]
 27%|##6       | 207/781 [00:10<00:29, 19.50it/s]
 27%|##6       | 209/781 [00:10<00:29, 19.51it/s]
 27%|##7       | 212/781 [00:10<00:28, 20.07it/s]
 28%|##7       | 215/781 [00:10<00:27, 20.48it/s]
 28%|##7       | 218/781 [00:10<00:28, 19.94it/s]
 28%|##8       | 220/781 [00:10<00:28, 19.80it/s]
 28%|##8       | 222/781 [00:10<00:28, 19.70it/s]
 29%|##8       | 225/781 [00:10<00:27, 19.90it/s]
 29%|##9       | 228/781 [00:11<00:27, 20.23it/s]
 30%|##9       | 231/781 [00:11<00:26, 20.54it/s]
 30%|##9       | 234/781 [00:11<00:26, 20.48it/s]
 30%|###       | 237/781 [00:11<00:27, 20.03it/s]
 31%|###       | 240/781 [00:11<00:26, 20.25it/s]
 31%|###1      | 243/781 [00:11<00:26, 20.26it/s]
 31%|###1      | 246/781 [00:11<00:26, 20.45it/s]
 32%|###1      | 249/781 [00:12<00:26, 20.45it/s]
 32%|###2      | 252/781 [00:12<00:26, 19.71it/s]
 33%|###2      | 255/781 [00:12<00:26, 20.15it/s]
 33%|###3      | 258/781 [00:12<00:26, 20.10it/s]
 33%|###3      | 261/781 [00:12<00:32, 15.80it/s]
 34%|###3      | 264/781 [00:13<00:30, 17.01it/s]
 34%|###4      | 267/781 [00:13<00:28, 18.13it/s]
 35%|###4      | 270/781 [00:13<00:26, 19.01it/s]
 35%|###4      | 273/781 [00:13<00:26, 19.38it/s]
 35%|###5      | 276/781 [00:13<00:25, 19.82it/s]
 36%|###5      | 279/781 [00:13<00:24, 20.33it/s]
 36%|###6      | 282/781 [00:13<00:24, 20.72it/s]
 36%|###6      | 285/781 [00:13<00:23, 21.02it/s]
 37%|###6      | 288/781 [00:14<00:23, 21.19it/s]
 37%|###7      | 291/781 [00:14<00:22, 21.34it/s]
 38%|###7      | 294/781 [00:14<00:22, 21.42it/s]
 38%|###8      | 297/781 [00:14<00:22, 21.49it/s]
 38%|###8      | 300/781 [00:14<00:22, 21.13it/s]
 39%|###8      | 303/781 [00:14<00:22, 21.24it/s]
 39%|###9      | 306/781 [00:14<00:22, 21.36it/s]
 40%|###9      | 309/781 [00:15<00:22, 21.39it/s]
 40%|###9      | 312/781 [00:15<00:21, 21.42it/s]
 40%|####      | 315/781 [00:15<00:21, 21.47it/s]
 41%|####      | 318/781 [00:15<00:21, 21.50it/s]
 41%|####1     | 321/781 [00:15<00:21, 21.53it/s]
 41%|####1     | 324/781 [00:15<00:21, 21.58it/s]
 42%|####1     | 327/781 [00:15<00:21, 21.58it/s]
 42%|####2     | 330/781 [00:16<00:20, 21.59it/s]
 43%|####2     | 333/781 [00:16<00:20, 21.62it/s]
 43%|####3     | 336/781 [00:16<00:20, 21.64it/s]
 43%|####3     | 339/781 [00:16<00:20, 21.67it/s]
 44%|####3     | 342/781 [00:16<00:20, 21.70it/s]
 44%|####4     | 345/781 [00:16<00:20, 21.70it/s]
 45%|####4     | 348/781 [00:16<00:19, 21.71it/s]
 45%|####4     | 351/781 [00:17<00:19, 21.73it/s]
 45%|####5     | 354/781 [00:17<00:19, 21.71it/s]
 46%|####5     | 357/781 [00:17<00:19, 21.70it/s]
 46%|####6     | 360/781 [00:17<00:19, 21.71it/s]
 46%|####6     | 363/781 [00:17<00:19, 21.67it/s]
 47%|####6     | 366/781 [00:17<00:19, 21.66it/s]
 47%|####7     | 369/781 [00:17<00:19, 21.63it/s]
 48%|####7     | 372/781 [00:18<00:18, 21.64it/s]
 48%|####8     | 375/781 [00:18<00:18, 21.67it/s]
 48%|####8     | 378/781 [00:18<00:18, 21.67it/s]
 49%|####8     | 381/781 [00:18<00:18, 21.65it/s]
 49%|####9     | 384/781 [00:18<00:18, 21.64it/s]
 50%|####9     | 387/781 [00:18<00:18, 21.64it/s]
 50%|####9     | 390/781 [00:18<00:18, 21.44it/s]
 50%|#####     | 393/781 [00:19<00:18, 21.40it/s]
 51%|#####     | 396/781 [00:19<00:17, 21.40it/s]
 51%|#####1    | 399/781 [00:19<00:17, 21.39it/s]
 51%|#####1    | 402/781 [00:19<00:17, 21.40it/s]
 52%|#####1    | 405/781 [00:19<00:17, 21.41it/s]
 52%|#####2    | 408/781 [00:19<00:17, 21.41it/s]
 53%|#####2    | 411/781 [00:19<00:17, 21.40it/s]
 53%|#####3    | 414/781 [00:19<00:17, 21.42it/s]
 53%|#####3    | 417/781 [00:20<00:16, 21.42it/s]
 54%|#####3    | 420/781 [00:20<00:16, 21.43it/s]
 54%|#####4    | 423/781 [00:20<00:16, 21.47it/s]
 55%|#####4    | 426/781 [00:20<00:16, 21.45it/s]
 55%|#####4    | 429/781 [00:20<00:16, 21.36it/s]
 55%|#####5    | 432/781 [00:20<00:16, 21.17it/s]
 56%|#####5    | 435/781 [00:20<00:16, 21.10it/s]
 56%|#####6    | 438/781 [00:21<00:16, 20.99it/s]
 56%|#####6    | 441/781 [00:21<00:16, 20.97it/s]
 57%|#####6    | 444/781 [00:21<00:16, 21.05it/s]
 57%|#####7    | 447/781 [00:21<00:15, 20.99it/s]
 58%|#####7    | 450/781 [00:21<00:15, 21.03it/s]
 58%|#####8    | 453/781 [00:21<00:15, 21.14it/s]
 58%|#####8    | 456/781 [00:21<00:15, 21.25it/s]
 59%|#####8    | 459/781 [00:22<00:15, 21.22it/s]
 59%|#####9    | 462/781 [00:22<00:15, 21.21it/s]
 60%|#####9    | 465/781 [00:22<00:14, 21.13it/s]
 60%|#####9    | 468/781 [00:22<00:14, 21.06it/s]
 60%|######    | 471/781 [00:22<00:14, 20.94it/s]
 61%|######    | 474/781 [00:22<00:14, 20.87it/s]
 61%|######1   | 477/781 [00:22<00:14, 20.72it/s]
 61%|######1   | 480/781 [00:23<00:14, 20.65it/s]
 62%|######1   | 483/781 [00:23<00:14, 20.72it/s]
 62%|######2   | 486/781 [00:23<00:14, 20.81it/s]
 63%|######2   | 489/781 [00:23<00:13, 20.98it/s]
 63%|######2   | 492/781 [00:23<00:13, 21.12it/s]
 63%|######3   | 495/781 [00:23<00:13, 21.19it/s]
 64%|######3   | 498/781 [00:23<00:13, 21.28it/s]
 64%|######4   | 501/781 [00:24<00:13, 21.31it/s]
 65%|######4   | 504/781 [00:24<00:12, 21.36it/s]
 65%|######4   | 507/781 [00:24<00:12, 21.37it/s]
 65%|######5   | 510/781 [00:24<00:12, 21.41it/s]
 66%|######5   | 513/781 [00:24<00:12, 21.41it/s]
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Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.47s/it]
Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.14s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.47s/it]
Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.14s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.47s/it]
Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.14s/it]/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:273: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.48s/it]
Validation Progress: 100%|##########| 44/44 [00:50<00:00,  1.14s/it]

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/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

/home/user/VAR/tokenizer/tokenizer_image/dino_enc/dinov2.py:122: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):

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 15%|#4        | 114/781 [00:06<00:35, 18.82it/s]
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 15%|#5        | 118/781 [00:06<00:34, 19.01it/s]
 15%|#5        | 120/781 [00:06<00:35, 18.86it/s]
 16%|#5        | 122/781 [00:06<00:35, 18.73it/s]
 16%|#5        | 124/781 [00:06<00:35, 18.61it/s]
 16%|#6        | 126/781 [00:06<00:35, 18.57it/s]
 16%|#6        | 128/781 [00:06<00:35, 18.65it/s]
 17%|#6        | 130/781 [00:06<00:35, 18.42it/s]
 17%|#6        | 132/781 [00:07<00:35, 18.53it/s]
 17%|#7        | 134/781 [00:07<00:34, 18.64it/s]
 17%|#7        | 136/781 [00:07<00:34, 18.71it/s]
 18%|#7        | 138/781 [00:07<00:34, 18.69it/s]
 18%|#7        | 140/781 [00:07<00:34, 18.72it/s]
 18%|#8        | 142/781 [00:07<00:34, 18.76it/s]
 18%|#8        | 144/781 [00:07<00:34, 18.70it/s]
 19%|#8        | 146/781 [00:07<00:33, 18.79it/s]
 19%|#8        | 148/781 [00:07<00:33, 18.96it/s]
 19%|#9        | 150/781 [00:08<00:33, 18.68it/s]
 19%|#9        | 152/781 [00:08<00:33, 18.90it/s]
 20%|#9        | 154/781 [00:08<00:33, 18.93it/s]
 20%|#9        | 156/781 [00:08<00:33, 18.58it/s]
 20%|##        | 158/781 [00:08<00:33, 18.70it/s]
 20%|##        | 160/781 [00:08<00:33, 18.60it/s]
 21%|##        | 162/781 [00:08<00:33, 18.68it/s]
 21%|##        | 164/781 [00:08<00:33, 18.56it/s]
 21%|##1       | 166/781 [00:08<00:33, 18.59it/s]
 22%|##1       | 168/781 [00:08<00:32, 18.66it/s]
 22%|##1       | 170/781 [00:09<00:32, 18.92it/s]
 22%|##2       | 172/781 [00:09<00:32, 18.93it/s]
 22%|##2       | 174/781 [00:09<00:32, 18.76it/s]
 23%|##2       | 176/781 [00:09<00:31, 18.98it/s]
 23%|##2       | 178/781 [00:09<00:32, 18.81it/s]
 23%|##3       | 180/781 [00:09<00:32, 18.75it/s]
 23%|##3       | 182/781 [00:09<00:31, 18.77it/s]
 24%|##3       | 184/781 [00:09<00:31, 18.84it/s]
 24%|##3       | 186/781 [00:09<00:31, 18.83it/s]
 24%|##4       | 188/781 [00:10<00:31, 18.81it/s]
 24%|##4       | 190/781 [00:10<00:31, 18.98it/s]
 25%|##4       | 192/781 [00:10<00:31, 18.97it/s]
 25%|##4       | 194/781 [00:10<00:30, 18.99it/s]
 25%|##5       | 196/781 [00:10<00:31, 18.80it/s]
 25%|##5       | 198/781 [00:10<00:31, 18.47it/s]
 26%|##5       | 200/781 [00:10<00:31, 18.62it/s]
 26%|##5       | 202/781 [00:10<00:30, 18.87it/s]
 26%|##6       | 204/781 [00:10<00:30, 18.75it/s]
 26%|##6       | 206/781 [00:11<00:30, 18.77it/s]
 27%|##6       | 208/781 [00:11<00:30, 18.79it/s]
 27%|##6       | 210/781 [00:11<00:30, 18.78it/s]
 27%|##7       | 212/781 [00:11<00:30, 18.97it/s]
 27%|##7       | 214/781 [00:11<00:29, 18.95it/s]
 28%|##7       | 216/781 [00:11<00:29, 18.97it/s]
 28%|##7       | 218/781 [00:11<00:29, 19.01it/s]
 28%|##8       | 220/781 [00:11<00:29, 18.80it/s]
 28%|##8       | 222/781 [00:11<00:29, 18.84it/s]
 29%|##8       | 224/781 [00:11<00:29, 18.86it/s]
 29%|##8       | 226/781 [00:12<00:29, 18.89it/s]
 29%|##9       | 228/781 [00:12<00:29, 18.86it/s]
 29%|##9       | 230/781 [00:12<00:29, 18.89it/s]
 30%|##9       | 232/781 [00:12<00:28, 18.94it/s]
 30%|##9       | 234/781 [00:12<00:29, 18.75it/s]
 30%|###       | 236/781 [00:12<00:29, 18.66it/s]
 30%|###       | 238/781 [00:12<00:28, 18.76it/s]
 31%|###       | 240/781 [00:12<00:28, 18.85it/s]
 31%|###       | 242/781 [00:12<00:28, 18.92it/s]
 31%|###1      | 244/781 [00:13<00:28, 18.96it/s]
 31%|###1      | 246/781 [00:13<00:28, 18.95it/s]
 32%|###1      | 248/781 [00:13<00:27, 19.16it/s]
 32%|###2      | 250/781 [00:13<00:27, 18.97it/s]
 32%|###2      | 252/781 [00:13<00:27, 18.94it/s]
 33%|###2      | 254/781 [00:13<00:27, 18.96it/s]
 33%|###2      | 256/781 [00:13<00:27, 18.98it/s]
 33%|###3      | 258/781 [00:13<00:27, 19.00it/s]
 33%|###3      | 260/781 [00:13<00:27, 19.01it/s]
 34%|###3      | 262/781 [00:13<00:27, 18.86it/s]
 34%|###3      | 264/781 [00:14<00:27, 18.77it/s]
 34%|###4      | 266/781 [00:14<00:27, 18.70it/s]
 34%|###4      | 268/781 [00:14<00:27, 18.59it/s]
 35%|###4      | 270/781 [00:14<00:27, 18.59it/s]
 35%|###4      | 272/781 [00:14<00:27, 18.77it/s]
 35%|###5      | 274/781 [00:14<00:26, 18.79it/s]
 35%|###5      | 276/781 [00:14<00:27, 18.55it/s]
 36%|###5      | 278/781 [00:14<00:27, 18.61it/s]
 36%|###5      | 280/781 [00:14<00:26, 18.64it/s]
 36%|###6      | 282/781 [00:15<00:26, 18.56it/s]
 36%|###6      | 284/781 [00:15<00:26, 18.77it/s]
 37%|###6      | 286/781 [00:15<00:26, 18.56it/s]
 37%|###6      | 288/781 [00:15<00:26, 18.63it/s]
 37%|###7      | 290/781 [00:15<00:26, 18.85it/s]
 37%|###7      | 292/781 [00:15<00:25, 18.93it/s]
 38%|###7      | 294/781 [00:15<00:25, 18.93it/s]
 38%|###7      | 296/781 [00:15<00:25, 18.80it/s]
 38%|###8      | 298/781 [00:15<00:25, 18.87it/s]
 38%|###8      | 300/781 [00:15<00:25, 19.04it/s]
 39%|###8      | 302/781 [00:16<00:25, 19.03it/s]
 39%|###8      | 304/781 [00:16<00:25, 19.05it/s]
 39%|###9      | 306/781 [00:16<00:25, 18.96it/s]
 39%|###9      | 308/781 [00:16<00:24, 18.96it/s]
 40%|###9      | 310/781 [00:16<00:25, 18.79it/s]
 40%|###9      | 312/781 [00:16<00:24, 18.83it/s]
 40%|####      | 314/781 [00:16<00:24, 18.98it/s]
 40%|####      | 316/781 [00:16<00:24, 19.02it/s]
 41%|####      | 318/781 [00:16<00:24, 19.02it/s]
 41%|####      | 320/781 [00:17<00:24, 18.87it/s]
 41%|####1     | 322/781 [00:17<00:24, 19.01it/s]
 41%|####1     | 324/781 [00:17<00:24, 19.01it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.00it/s]
 42%|####1     | 328/781 [00:17<00:24, 18.76it/s]
 42%|####2     | 330/781 [00:17<00:23, 18.88it/s]
 43%|####2     | 332/781 [00:17<00:24, 18.65it/s]
 43%|####2     | 334/781 [00:17<00:23, 18.70it/s]
 43%|####3     | 336/781 [00:17<00:23, 18.58it/s]
 43%|####3     | 338/781 [00:18<00:24, 18.40it/s]
 44%|####3     | 340/781 [00:18<00:23, 18.68it/s]
 44%|####3     | 342/781 [00:18<00:23, 18.76it/s]
 44%|####4     | 344/781 [00:18<00:23, 18.56it/s]
 44%|####4     | 346/781 [00:18<00:23, 18.64it/s]
 45%|####4     | 348/781 [00:18<00:23, 18.71it/s]
 45%|####4     | 350/781 [00:18<00:23, 18.63it/s]
 45%|####5     | 352/781 [00:18<00:23, 18.42it/s]
 45%|####5     | 354/781 [00:18<00:23, 18.54it/s]
 46%|####5     | 356/781 [00:18<00:22, 18.67it/s]
 46%|####5     | 358/781 [00:19<00:22, 18.77it/s]
 46%|####6     | 360/781 [00:19<00:22, 18.82it/s]
 46%|####6     | 362/781 [00:19<00:22, 18.69it/s]
 47%|####6     | 364/781 [00:19<00:22, 18.73it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.78it/s]
 47%|####7     | 368/781 [00:19<00:21, 18.80it/s]
 47%|####7     | 370/781 [00:19<00:21, 18.84it/s]
 48%|####7     | 372/781 [00:19<00:21, 18.71it/s]
 48%|####7     | 374/781 [00:19<00:21, 18.74it/s]
 48%|####8     | 376/781 [00:20<00:21, 18.68it/s]
 48%|####8     | 378/781 [00:20<00:21, 18.72it/s]
 49%|####8     | 380/781 [00:20<00:21, 18.80it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.85it/s]
 49%|####9     | 384/781 [00:20<00:20, 18.91it/s]
 49%|####9     | 386/781 [00:20<00:20, 18.97it/s]
 50%|####9     | 388/781 [00:20<00:20, 19.11it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.09it/s]
 50%|#####     | 392/781 [00:20<00:20, 19.04it/s]
 50%|#####     | 394/781 [00:20<00:20, 18.85it/s]
 51%|#####     | 396/781 [00:21<00:20, 18.86it/s]
 51%|#####     | 398/781 [00:21<00:20, 18.88it/s]
 51%|#####1    | 400/781 [00:21<00:19, 19.06it/s]
 51%|#####1    | 402/781 [00:21<00:20, 18.90it/s]
 52%|#####1    | 404/781 [00:21<00:19, 18.98it/s]
 52%|#####1    | 406/781 [00:21<00:19, 19.03it/s]
 52%|#####2    | 408/781 [00:21<00:19, 19.06it/s]
 52%|#####2    | 410/781 [00:21<00:19, 19.23it/s]
 53%|#####2    | 412/781 [00:21<00:19, 19.01it/s]
 53%|#####3    | 414/781 [00:22<00:19, 19.08it/s]
 53%|#####3    | 416/781 [00:22<00:19, 18.76it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.70it/s]
 54%|#####3    | 420/781 [00:22<00:19, 18.79it/s]
 54%|#####4    | 422/781 [00:22<00:19, 18.50it/s]
 54%|#####4    | 424/781 [00:22<00:19, 18.58it/s]
 55%|#####4    | 426/781 [00:22<00:18, 18.85it/s]
 55%|#####4    | 428/781 [00:22<00:18, 18.93it/s]
 55%|#####5    | 430/781 [00:22<00:18, 18.93it/s]
 55%|#####5    | 432/781 [00:22<00:18, 18.96it/s]
 56%|#####5    | 434/781 [00:23<00:18, 18.79it/s]
 56%|#####5    | 436/781 [00:23<00:18, 18.82it/s]
 56%|#####6    | 438/781 [00:23<00:18, 18.81it/s]
 56%|#####6    | 440/781 [00:23<00:18, 18.82it/s]
 57%|#####6    | 442/781 [00:23<00:17, 18.87it/s]
 57%|#####6    | 444/781 [00:23<00:17, 18.89it/s]
 57%|#####7    | 446/781 [00:23<00:17, 18.91it/s]
 57%|#####7    | 448/781 [00:23<00:17, 18.94it/s]
 58%|#####7    | 450/781 [00:23<00:17, 18.92it/s]
 58%|#####7    | 452/781 [00:24<00:17, 18.89it/s]
 58%|#####8    | 454/781 [00:24<00:17, 18.64it/s]
 58%|#####8    | 456/781 [00:24<00:17, 18.61it/s]
 59%|#####8    | 458/781 [00:24<00:17, 18.64it/s]
 59%|#####8    | 460/781 [00:24<00:17, 18.67it/s]
 59%|#####9    | 462/781 [00:24<00:16, 18.87it/s]
 59%|#####9    | 464/781 [00:24<00:16, 18.89it/s]
 60%|#####9    | 466/781 [00:24<00:16, 18.87it/s]
 60%|#####9    | 468/781 [00:24<00:16, 18.87it/s]
 60%|######    | 470/781 [00:25<00:16, 18.75it/s]
 60%|######    | 472/781 [00:25<00:16, 18.92it/s]
 61%|######    | 474/781 [00:25<00:16, 18.73it/s]
 61%|######    | 476/781 [00:25<00:16, 18.90it/s]
 61%|######1   | 478/781 [00:25<00:16, 18.91it/s]
 61%|######1   | 480/781 [00:25<00:16, 18.79it/s]
 62%|######1   | 482/781 [00:25<00:15, 18.72it/s]
 62%|######1   | 484/781 [00:25<00:15, 18.91it/s]
 62%|######2   | 486/781 [00:25<00:15, 18.89it/s]
 62%|######2   | 488/781 [00:25<00:15, 18.80it/s]
 63%|######2   | 490/781 [00:26<00:15, 18.86it/s]
 63%|######2   | 492/781 [00:26<00:15, 19.04it/s]
 63%|######3   | 494/781 [00:26<00:15, 19.04it/s]
 64%|######3   | 496/781 [00:26<00:15, 18.98it/s]
 64%|######3   | 498/781 [00:26<00:15, 18.83it/s]
 64%|######4   | 500/781 [00:26<00:14, 18.83it/s]
 64%|######4   | 502/781 [00:26<00:14, 18.85it/s]
 65%|######4   | 504/781 [00:26<00:14, 18.87it/s]
 65%|######4   | 506/781 [00:26<00:14, 19.04it/s]
 65%|######5   | 508/781 [00:27<00:14, 18.88it/s]
 65%|######5   | 510/781 [00:27<00:14, 19.03it/s]
 66%|######5   | 512/781 [00:27<00:14, 18.74it/s]
 66%|######5   | 514/781 [00:27<00:14, 18.75it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.80it/s]
 66%|######6   | 518/781 [00:27<00:14, 18.76it/s]
 67%|######6   | 520/781 [00:27<00:14, 18.40it/s]
 67%|######6   | 522/781 [00:27<00:14, 18.50it/s]
 67%|######7   | 524/781 [00:27<00:13, 18.46it/s]
 67%|######7   | 526/781 [00:28<00:13, 18.29it/s]
 68%|######7   | 528/781 [00:28<00:13, 18.28it/s]
 68%|######7   | 530/781 [00:28<00:13, 18.42it/s]
 68%|######8   | 532/781 [00:28<00:13, 18.24it/s]
 68%|######8   | 534/781 [00:28<00:13, 18.28it/s]
 69%|######8   | 536/781 [00:28<00:13, 18.29it/s]
 69%|######8   | 538/781 [00:28<00:13, 18.16it/s]
 69%|######9   | 540/781 [00:28<00:13, 18.25it/s]
 69%|######9   | 542/781 [00:28<00:12, 18.41it/s]
 70%|######9   | 544/781 [00:28<00:12, 18.71it/s]
 70%|######9   | 546/781 [00:29<00:12, 18.59it/s]
 70%|#######   | 548/781 [00:29<00:12, 18.84it/s]
 70%|#######   | 550/781 [00:29<00:12, 18.68it/s]
 71%|#######   | 552/781 [00:29<00:12, 18.71it/s]
 71%|#######   | 554/781 [00:29<00:12, 18.77it/s]
 71%|#######1  | 556/781 [00:29<00:11, 18.96it/s]
 71%|#######1  | 558/781 [00:29<00:11, 18.81it/s]
 72%|#######1  | 560/781 [00:29<00:11, 18.82it/s]
 72%|#######1  | 562/781 [00:29<00:11, 18.85it/s]
 72%|#######2  | 564/781 [00:30<00:11, 18.88it/s]
 72%|#######2  | 566/781 [00:30<00:11, 18.90it/s]
 73%|#######2  | 568/781 [00:30<00:11, 18.93it/s]
 73%|#######2  | 570/781 [00:30<00:11, 18.95it/s]
 73%|#######3  | 572/781 [00:30<00:10, 19.18it/s]
 73%|#######3  | 574/781 [00:30<00:10, 18.93it/s]
 74%|#######3  | 576/781 [00:30<00:10, 18.92it/s]
 74%|#######4  | 578/781 [00:30<00:10, 18.94it/s]
 74%|#######4  | 580/781 [00:30<00:10, 18.94it/s]
 75%|#######4  | 582/781 [00:30<00:10, 19.09it/s]
 75%|#######4  | 584/781 [00:31<00:10, 19.08it/s]
 75%|#######5  | 586/781 [00:31<00:10, 18.90it/s]
 75%|#######5  | 588/781 [00:31<00:10, 18.91it/s]
 76%|#######5  | 590/781 [00:31<00:10, 18.93it/s]
 76%|#######5  | 592/781 [00:31<00:09, 18.95it/s]
 76%|#######6  | 594/781 [00:31<00:09, 18.98it/s]
 76%|#######6  | 596/781 [00:31<00:09, 19.00it/s]
 77%|#######6  | 598/781 [00:31<00:09, 19.03it/s]
 77%|#######6  | 600/781 [00:31<00:09, 19.08it/s]
 77%|#######7  | 602/781 [00:32<00:09, 19.11it/s]
 77%|#######7  | 604/781 [00:32<00:09, 18.76it/s]
 78%|#######7  | 606/781 [00:32<00:09, 19.03it/s]
 78%|#######7  | 608/781 [00:32<00:09, 19.06it/s]
 78%|#######8  | 610/781 [00:32<00:08, 19.06it/s]
 78%|#######8  | 612/781 [00:32<00:08, 18.84it/s]
 79%|#######8  | 614/781 [00:32<00:08, 18.80it/s]
 79%|#######8  | 616/781 [00:32<00:08, 18.98it/s]
 79%|#######9  | 618/781 [00:32<00:08, 18.86it/s]
 79%|#######9  | 620/781 [00:32<00:08, 18.86it/s]
 80%|#######9  | 622/781 [00:33<00:08, 19.07it/s]
 80%|#######9  | 624/781 [00:33<00:08, 19.06it/s]
 80%|########  | 626/781 [00:33<00:08, 19.07it/s]
 80%|########  | 628/781 [00:33<00:08, 18.88it/s]
 81%|########  | 630/781 [00:33<00:07, 18.89it/s]
 81%|########  | 632/781 [00:33<00:07, 19.05it/s]
 81%|########1 | 634/781 [00:33<00:07, 18.92it/s]
 81%|########1 | 636/781 [00:33<00:07, 19.09it/s]
 82%|########1 | 638/781 [00:33<00:07, 19.12it/s]
 82%|########1 | 640/781 [00:34<00:07, 19.06it/s]
 82%|########2 | 642/781 [00:34<00:07, 19.06it/s]
 82%|########2 | 644/781 [00:34<00:07, 18.85it/s]
 83%|########2 | 646/781 [00:34<00:07, 18.88it/s]
 83%|########2 | 648/781 [00:34<00:07, 18.94it/s]
 83%|########3 | 650/781 [00:34<00:06, 18.92it/s]
 83%|########3 | 652/781 [00:34<00:06, 18.94it/s]
 84%|########3 | 654/781 [00:34<00:06, 18.93it/s]
 84%|########3 | 656/781 [00:34<00:06, 18.80it/s]
 84%|########4 | 658/781 [00:35<00:06, 18.86it/s]
 85%|########4 | 660/781 [00:35<00:06, 18.78it/s]
 85%|########4 | 662/781 [00:35<00:06, 18.79it/s]
 85%|########5 | 664/781 [00:35<00:06, 18.90it/s]
 85%|########5 | 666/781 [00:35<00:06, 18.77it/s]
 86%|########5 | 668/781 [00:35<00:05, 18.90it/s]
 86%|########5 | 670/781 [00:35<00:05, 18.93it/s]
 86%|########6 | 672/781 [00:35<00:05, 18.97it/s]
 86%|########6 | 674/781 [00:35<00:05, 19.02it/s]
 87%|########6 | 676/781 [00:35<00:05, 18.89it/s]
 87%|########6 | 678/781 [00:36<00:05, 19.05it/s]
 87%|########7 | 680/781 [00:36<00:05, 19.02it/s]
 87%|########7 | 682/781 [00:36<00:05, 18.88it/s]
 88%|########7 | 684/781 [00:36<00:05, 18.93it/s]
 88%|########7 | 686/781 [00:36<00:05, 18.90it/s]
 88%|########8 | 688/781 [00:36<00:04, 19.06it/s]
 88%|########8 | 690/781 [00:36<00:04, 18.88it/s]
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 37%|###6      | 58/157 [00:03<00:05, 17.00it/s]
 38%|###8      | 60/157 [00:03<00:05, 17.00it/s]
 39%|###9      | 62/157 [00:03<00:05, 17.00it/s]
 41%|####      | 64/157 [00:03<00:05, 16.93it/s]
 42%|####2     | 66/157 [00:03<00:05, 16.94it/s]
 43%|####3     | 68/157 [00:04<00:05, 16.96it/s]
 45%|####4     | 70/157 [00:04<00:05, 16.99it/s]
 46%|####5     | 72/157 [00:04<00:04, 17.00it/s]
 47%|####7     | 74/157 [00:04<00:04, 17.01it/s]
 48%|####8     | 76/157 [00:04<00:04, 17.05it/s]
 50%|####9     | 78/157 [00:04<00:04, 17.07it/s]
 51%|#####     | 80/157 [00:04<00:04, 17.08it/s]
 52%|#####2    | 82/157 [00:04<00:04, 17.01it/s]
 54%|#####3    | 84/157 [00:04<00:04, 16.85it/s]
 55%|#####4    | 86/157 [00:05<00:04, 16.73it/s]
 56%|#####6    | 88/157 [00:05<00:04, 16.71it/s]
 57%|#####7    | 90/157 [00:05<00:03, 16.78it/s]
 59%|#####8    | 92/157 [00:05<00:03, 16.89it/s]
 60%|#####9    | 94/157 [00:05<00:03, 16.92it/s]
 61%|######1   | 96/157 [00:05<00:03, 16.95it/s]
 62%|######2   | 98/157 [00:05<00:03, 16.97it/s]
 64%|######3   | 100/157 [00:05<00:03, 16.87it/s]
 65%|######4   | 102/157 [00:06<00:03, 16.84it/s]
 66%|######6   | 104/157 [00:06<00:03, 16.81it/s]
 68%|######7   | 106/157 [00:06<00:03, 16.74it/s]
 69%|######8   | 108/157 [00:06<00:02, 16.69it/s]
 70%|#######   | 110/157 [00:06<00:02, 16.78it/s]
 71%|#######1  | 112/157 [00:06<00:02, 16.85it/s]
 73%|#######2  | 114/157 [00:06<00:02, 16.86it/s]
 74%|#######3  | 116/157 [00:06<00:02, 16.93it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.86it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.86it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.75it/s]
 79%|#######8  | 124/157 [00:07<00:01, 16.76it/s]
 80%|########  | 126/157 [00:07<00:01, 16.63it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.76it/s]
 83%|########2 | 130/157 [00:07<00:01, 16.85it/s]
 84%|########4 | 132/157 [00:07<00:01, 16.86it/s]
 85%|########5 | 134/157 [00:07<00:01, 16.85it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.90it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.88it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.90it/s]
 90%|######### | 142/157 [00:08<00:00, 16.95it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.99it/s]
 93%|#########2| 146/157 [00:08<00:00, 16.67it/s]
 94%|#########4| 148/157 [00:08<00:00, 16.77it/s]
 96%|#########5| 150/157 [00:08<00:00, 16.86it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.93it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.97it/s]
 99%|#########9| 156/157 [00:09<00:00, 16.99it/s]
100%|##########| 157/157 [00:09<00:00, 16.89it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 1/781 [00:00<01:24,  9.25it/s]
  0%|          | 3/781 [00:00<00:58, 13.41it/s]
  1%|          | 5/781 [00:00<00:49, 15.79it/s]
  1%|          | 7/781 [00:00<00:45, 16.97it/s]
  1%|1         | 9/781 [00:00<00:43, 17.67it/s]
  1%|1         | 11/781 [00:00<00:42, 18.13it/s]
  2%|1         | 13/781 [00:00<00:41, 18.40it/s]
  2%|1         | 15/781 [00:00<00:41, 18.62it/s]
  2%|2         | 17/781 [00:00<00:40, 18.76it/s]
  2%|2         | 19/781 [00:01<00:40, 18.85it/s]
  3%|2         | 21/781 [00:01<00:40, 18.90it/s]
  3%|2         | 23/781 [00:01<00:40, 18.94it/s]
  3%|3         | 25/781 [00:01<00:39, 18.96it/s]
  3%|3         | 27/781 [00:01<00:39, 19.02it/s]
  4%|3         | 29/781 [00:01<00:39, 19.06it/s]
  4%|3         | 31/781 [00:01<00:39, 19.03it/s]
  4%|4         | 33/781 [00:01<00:39, 19.04it/s]
  4%|4         | 35/781 [00:01<00:39, 19.04it/s]
  5%|4         | 37/781 [00:02<00:39, 18.90it/s]
  5%|4         | 39/781 [00:02<00:39, 18.80it/s]
  5%|5         | 41/781 [00:02<00:39, 18.76it/s]
  6%|5         | 43/781 [00:02<00:39, 18.71it/s]
  6%|5         | 45/781 [00:02<00:39, 18.70it/s]
  6%|6         | 47/781 [00:02<00:38, 18.83it/s]
  6%|6         | 49/781 [00:02<00:38, 18.91it/s]
  7%|6         | 51/781 [00:02<00:38, 18.98it/s]
  7%|6         | 53/781 [00:02<00:38, 19.04it/s]
  7%|7         | 55/781 [00:02<00:38, 19.08it/s]
  7%|7         | 57/781 [00:03<00:37, 19.13it/s]
  8%|7         | 59/781 [00:03<00:37, 19.14it/s]
  8%|7         | 61/781 [00:03<00:37, 19.18it/s]
  8%|8         | 63/781 [00:03<00:37, 19.19it/s]
  8%|8         | 65/781 [00:03<00:37, 19.20it/s]
  9%|8         | 67/781 [00:03<00:37, 19.21it/s]
  9%|8         | 69/781 [00:03<00:37, 19.22it/s]
  9%|9         | 71/781 [00:03<00:36, 19.20it/s]
  9%|9         | 73/781 [00:03<00:36, 19.25it/s]
 10%|9         | 75/781 [00:04<00:36, 19.24it/s]
 10%|9         | 77/781 [00:04<00:36, 19.06it/s]
 10%|#         | 79/781 [00:04<00:36, 18.99it/s]
 10%|#         | 81/781 [00:04<00:37, 18.91it/s]
 11%|#         | 83/781 [00:04<00:36, 18.88it/s]
 11%|#         | 85/781 [00:04<00:36, 18.93it/s]
 11%|#1        | 87/781 [00:04<00:36, 18.92it/s]
 11%|#1        | 89/781 [00:04<00:36, 18.97it/s]
 12%|#1        | 91/781 [00:04<00:36, 18.96it/s]
 12%|#1        | 93/781 [00:04<00:36, 19.01it/s]
 12%|#2        | 95/781 [00:05<00:36, 19.02it/s]
 12%|#2        | 97/781 [00:05<00:35, 19.04it/s]
 13%|#2        | 99/781 [00:05<00:35, 18.97it/s]
 13%|#2        | 101/781 [00:05<00:35, 18.93it/s]
 13%|#3        | 103/781 [00:05<00:35, 18.90it/s]
 13%|#3        | 105/781 [00:05<00:35, 18.96it/s]
 14%|#3        | 107/781 [00:05<00:35, 19.05it/s]
 14%|#3        | 109/781 [00:05<00:35, 19.07it/s]
 14%|#4        | 111/781 [00:05<00:35, 19.09it/s]
 14%|#4        | 113/781 [00:06<00:34, 19.13it/s]
 15%|#4        | 115/781 [00:06<00:34, 19.14it/s]
 15%|#4        | 117/781 [00:06<00:34, 19.14it/s]
 15%|#5        | 119/781 [00:06<00:34, 19.13it/s]
 15%|#5        | 121/781 [00:06<00:34, 19.10it/s]
 16%|#5        | 123/781 [00:06<00:34, 19.08it/s]
 16%|#6        | 125/781 [00:06<00:34, 19.13it/s]
 16%|#6        | 127/781 [00:06<00:34, 19.14it/s]
 17%|#6        | 129/781 [00:06<00:33, 19.18it/s]
 17%|#6        | 131/781 [00:06<00:33, 19.18it/s]
 17%|#7        | 133/781 [00:07<00:33, 19.20it/s]
 17%|#7        | 135/781 [00:07<00:33, 19.22it/s]
 18%|#7        | 137/781 [00:07<00:33, 19.25it/s]
 18%|#7        | 139/781 [00:07<00:33, 19.18it/s]
 18%|#8        | 141/781 [00:07<00:33, 19.08it/s]
 18%|#8        | 143/781 [00:07<00:33, 19.08it/s]
 19%|#8        | 145/781 [00:07<00:33, 19.09it/s]
 19%|#8        | 147/781 [00:07<00:33, 18.86it/s]
 19%|#9        | 149/781 [00:07<00:33, 18.87it/s]
 19%|#9        | 151/781 [00:08<00:33, 18.91it/s]
 20%|#9        | 153/781 [00:08<00:33, 18.77it/s]
 20%|#9        | 155/781 [00:08<00:33, 18.89it/s]
 20%|##        | 157/781 [00:08<00:32, 18.97it/s]
 20%|##        | 159/781 [00:08<00:32, 18.99it/s]
 21%|##        | 161/781 [00:08<00:32, 18.93it/s]
 21%|##        | 163/781 [00:08<00:32, 18.75it/s]
 21%|##1       | 165/781 [00:08<00:32, 18.85it/s]
 21%|##1       | 167/781 [00:08<00:32, 18.83it/s]
 22%|##1       | 169/781 [00:08<00:32, 18.86it/s]
 22%|##1       | 171/781 [00:09<00:32, 18.87it/s]
 22%|##2       | 173/781 [00:09<00:32, 18.74it/s]
 22%|##2       | 175/781 [00:09<00:32, 18.80it/s]
 23%|##2       | 177/781 [00:09<00:31, 18.97it/s]
 23%|##2       | 179/781 [00:09<00:32, 18.81it/s]
 23%|##3       | 181/781 [00:09<00:31, 18.86it/s]
 23%|##3       | 183/781 [00:09<00:31, 19.06it/s]
 24%|##3       | 185/781 [00:09<00:31, 18.88it/s]
 24%|##3       | 187/781 [00:09<00:31, 18.90it/s]
 24%|##4       | 189/781 [00:10<00:31, 18.91it/s]
 24%|##4       | 191/781 [00:10<00:31, 18.92it/s]
 25%|##4       | 193/781 [00:10<00:31, 18.89it/s]
 25%|##4       | 195/781 [00:10<00:30, 18.98it/s]
 25%|##5       | 197/781 [00:10<00:30, 19.02it/s]
 25%|##5       | 199/781 [00:10<00:30, 18.94it/s]
 26%|##5       | 201/781 [00:10<00:30, 18.83it/s]
 26%|##5       | 203/781 [00:10<00:30, 18.77it/s]
 26%|##6       | 205/781 [00:10<00:31, 18.33it/s]
 27%|##6       | 207/781 [00:10<00:30, 18.53it/s]
 27%|##6       | 209/781 [00:11<00:30, 18.69it/s]
 27%|##7       | 211/781 [00:11<00:30, 18.96it/s]
 27%|##7       | 213/781 [00:11<00:30, 18.87it/s]
 28%|##7       | 215/781 [00:11<00:29, 18.96it/s]
 28%|##7       | 217/781 [00:11<00:29, 19.01it/s]
 28%|##8       | 219/781 [00:11<00:29, 19.19it/s]
 28%|##8       | 221/781 [00:11<00:29, 18.99it/s]
 29%|##8       | 223/781 [00:11<00:29, 18.94it/s]
 29%|##8       | 225/781 [00:11<00:29, 18.85it/s]
 29%|##9       | 227/781 [00:12<00:29, 18.74it/s]
 29%|##9       | 229/781 [00:12<00:29, 18.71it/s]
 30%|##9       | 231/781 [00:12<00:29, 18.79it/s]
 30%|##9       | 233/781 [00:12<00:29, 18.56it/s]
 30%|###       | 235/781 [00:12<00:29, 18.65it/s]
 30%|###       | 237/781 [00:12<00:29, 18.46it/s]
 31%|###       | 239/781 [00:12<00:29, 18.45it/s]
 31%|###       | 241/781 [00:12<00:29, 18.47it/s]
 31%|###1      | 243/781 [00:12<00:29, 18.53it/s]
 31%|###1      | 245/781 [00:13<00:28, 18.69it/s]
 32%|###1      | 247/781 [00:13<00:28, 18.80it/s]
 32%|###1      | 249/781 [00:13<00:28, 18.98it/s]
 32%|###2      | 251/781 [00:13<00:28, 18.77it/s]
 32%|###2      | 253/781 [00:13<00:28, 18.73it/s]
 33%|###2      | 255/781 [00:13<00:28, 18.67it/s]
 33%|###2      | 257/781 [00:13<00:28, 18.64it/s]
 33%|###3      | 259/781 [00:13<00:28, 18.61it/s]
 33%|###3      | 261/781 [00:13<00:28, 18.57it/s]
 34%|###3      | 263/781 [00:13<00:27, 18.56it/s]
 34%|###3      | 265/781 [00:14<00:27, 18.55it/s]
 34%|###4      | 267/781 [00:14<00:27, 18.55it/s]
 34%|###4      | 269/781 [00:14<00:27, 18.69it/s]
 35%|###4      | 271/781 [00:14<00:27, 18.79it/s]
 35%|###4      | 273/781 [00:14<00:26, 18.86it/s]
 35%|###5      | 275/781 [00:14<00:26, 19.02it/s]
 35%|###5      | 277/781 [00:14<00:26, 18.86it/s]
 36%|###5      | 279/781 [00:14<00:26, 18.90it/s]
 36%|###5      | 281/781 [00:14<00:26, 18.91it/s]
 36%|###6      | 283/781 [00:15<00:26, 18.96it/s]
 36%|###6      | 285/781 [00:15<00:26, 18.95it/s]
 37%|###6      | 287/781 [00:15<00:26, 18.98it/s]
 37%|###7      | 289/781 [00:15<00:25, 19.01it/s]
 37%|###7      | 291/781 [00:15<00:25, 19.05it/s]
 38%|###7      | 293/781 [00:15<00:25, 19.07it/s]
 38%|###7      | 295/781 [00:15<00:25, 19.09it/s]
 38%|###8      | 297/781 [00:15<00:25, 19.10it/s]
 38%|###8      | 299/781 [00:15<00:25, 19.09it/s]
 39%|###8      | 301/781 [00:15<00:25, 19.12it/s]
 39%|###8      | 303/781 [00:16<00:25, 19.08it/s]
 39%|###9      | 305/781 [00:16<00:24, 19.08it/s]
 39%|###9      | 307/781 [00:16<00:24, 19.08it/s]
 40%|###9      | 309/781 [00:16<00:24, 19.11it/s]
 40%|###9      | 311/781 [00:16<00:24, 19.26it/s]
 40%|####      | 313/781 [00:16<00:24, 19.04it/s]
 40%|####      | 315/781 [00:16<00:24, 19.02it/s]
 41%|####      | 317/781 [00:16<00:24, 19.05it/s]
 41%|####      | 319/781 [00:16<00:24, 19.04it/s]
 41%|####1     | 321/781 [00:17<00:24, 19.05it/s]
 41%|####1     | 323/781 [00:17<00:24, 19.06it/s]
 42%|####1     | 325/781 [00:17<00:23, 19.06it/s]
 42%|####1     | 327/781 [00:17<00:24, 18.92it/s]
 42%|####2     | 329/781 [00:17<00:24, 18.80it/s]
 42%|####2     | 331/781 [00:17<00:24, 18.50it/s]
 43%|####2     | 333/781 [00:17<00:24, 18.55it/s]
 43%|####2     | 335/781 [00:17<00:24, 18.52it/s]
 43%|####3     | 337/781 [00:17<00:23, 18.65it/s]
 43%|####3     | 339/781 [00:17<00:23, 18.80it/s]
 44%|####3     | 341/781 [00:18<00:23, 18.75it/s]
 44%|####3     | 343/781 [00:18<00:23, 18.65it/s]
 44%|####4     | 345/781 [00:18<00:23, 18.55it/s]
 44%|####4     | 347/781 [00:18<00:23, 18.60it/s]
 45%|####4     | 349/781 [00:18<00:23, 18.57it/s]
 45%|####4     | 351/781 [00:18<00:23, 18.32it/s]
 45%|####5     | 353/781 [00:18<00:23, 18.42it/s]
 45%|####5     | 355/781 [00:18<00:23, 18.47it/s]
 46%|####5     | 357/781 [00:18<00:23, 18.35it/s]
 46%|####5     | 359/781 [00:19<00:22, 18.57it/s]
 46%|####6     | 361/781 [00:19<00:22, 18.74it/s]
 46%|####6     | 363/781 [00:19<00:22, 18.85it/s]
 47%|####6     | 365/781 [00:19<00:22, 18.80it/s]
 47%|####6     | 367/781 [00:19<00:22, 18.73it/s]
 47%|####7     | 369/781 [00:19<00:22, 18.68it/s]
 48%|####7     | 371/781 [00:19<00:21, 18.69it/s]
 48%|####7     | 373/781 [00:19<00:21, 18.65it/s]
 48%|####8     | 375/781 [00:19<00:21, 18.71it/s]
 48%|####8     | 377/781 [00:20<00:21, 18.70it/s]
 49%|####8     | 379/781 [00:20<00:21, 18.74it/s]
 49%|####8     | 381/781 [00:20<00:21, 18.83it/s]
 49%|####9     | 383/781 [00:20<00:21, 18.93it/s]
 49%|####9     | 385/781 [00:20<00:20, 19.01it/s]
 50%|####9     | 387/781 [00:20<00:20, 19.05it/s]
 50%|####9     | 389/781 [00:20<00:20, 19.08it/s]
 50%|#####     | 391/781 [00:20<00:20, 19.13it/s]
 50%|#####     | 393/781 [00:20<00:20, 19.16it/s]
 51%|#####     | 395/781 [00:20<00:20, 19.19it/s]
 51%|#####     | 397/781 [00:21<00:20, 19.20it/s]
 51%|#####1    | 399/781 [00:21<00:20, 19.04it/s]
 51%|#####1    | 401/781 [00:21<00:20, 18.94it/s]
 52%|#####1    | 403/781 [00:21<00:19, 19.04it/s]
 52%|#####1    | 405/781 [00:21<00:19, 19.10it/s]
 52%|#####2    | 407/781 [00:21<00:19, 19.12it/s]
 52%|#####2    | 409/781 [00:21<00:19, 19.14it/s]
 53%|#####2    | 411/781 [00:21<00:19, 19.15it/s]
 53%|#####2    | 413/781 [00:21<00:19, 19.19it/s]
 53%|#####3    | 415/781 [00:22<00:19, 19.24it/s]
 53%|#####3    | 417/781 [00:22<00:18, 19.23it/s]
 54%|#####3    | 419/781 [00:22<00:18, 19.22it/s]
 54%|#####3    | 421/781 [00:22<00:18, 19.01it/s]
 54%|#####4    | 423/781 [00:22<00:18, 18.91it/s]
 54%|#####4    | 425/781 [00:22<00:18, 18.83it/s]
 55%|#####4    | 427/781 [00:22<00:18, 18.76it/s]
 55%|#####4    | 429/781 [00:22<00:18, 18.71it/s]
 55%|#####5    | 431/781 [00:22<00:18, 18.68it/s]
 55%|#####5    | 433/781 [00:22<00:18, 18.68it/s]
 56%|#####5    | 435/781 [00:23<00:18, 18.71it/s]
 56%|#####5    | 437/781 [00:23<00:18, 18.70it/s]
 56%|#####6    | 439/781 [00:23<00:18, 18.70it/s]
 56%|#####6    | 441/781 [00:23<00:18, 18.67it/s]
 57%|#####6    | 443/781 [00:23<00:18, 18.67it/s]
 57%|#####6    | 445/781 [00:23<00:17, 18.71it/s]
 57%|#####7    | 447/781 [00:23<00:17, 18.70it/s]
 57%|#####7    | 449/781 [00:23<00:17, 18.82it/s]
 58%|#####7    | 451/781 [00:23<00:17, 18.91it/s]
 58%|#####8    | 453/781 [00:24<00:17, 19.02it/s]
 58%|#####8    | 455/781 [00:24<00:17, 19.10it/s]
 59%|#####8    | 457/781 [00:24<00:16, 19.08it/s]
 59%|#####8    | 459/781 [00:24<00:16, 19.09it/s]
 59%|#####9    | 461/781 [00:24<00:16, 19.08it/s]
 59%|#####9    | 463/781 [00:24<00:16, 19.07it/s]
 60%|#####9    | 465/781 [00:24<00:16, 19.09it/s]
 60%|#####9    | 467/781 [00:24<00:16, 18.98it/s]
 60%|######    | 469/781 [00:24<00:16, 18.99it/s]
 60%|######    | 471/781 [00:24<00:16, 19.03it/s]
 61%|######    | 473/781 [00:25<00:16, 19.03it/s]
 61%|######    | 475/781 [00:25<00:16, 19.06it/s]
 61%|######1   | 477/781 [00:25<00:15, 19.07it/s]
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Validation Progress:  64%|######3   | 28/44 [00:30<00:18,  1.13s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.10s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.10s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.10s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:11,  1.09s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:11,  1.09s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:11,  1.09s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:11,  1.09s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.14s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.14s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.14s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.14s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.15s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.19s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.19s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.19s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.19s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.19s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.19s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.19s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.19s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:03<00:00,  3.91s/it]
100%|##########| 1/1 [00:03<00:00,  3.91s/it]

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  3%|2         | 4/157 [00:00<00:11, 13.87it/s]
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  8%|7         | 12/157 [00:00<00:08, 16.17it/s]
  9%|8         | 14/157 [00:00<00:08, 16.43it/s]
 10%|#         | 16/157 [00:01<00:08, 16.61it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.63it/s]
 13%|#2        | 20/157 [00:01<00:08, 16.66it/s]
 14%|#4        | 22/157 [00:01<00:08, 16.54it/s]
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 17%|#6        | 26/157 [00:01<00:07, 16.91it/s]
 18%|#7        | 28/157 [00:01<00:07, 16.90it/s]
 19%|#9        | 30/157 [00:01<00:07, 17.06it/s]
 20%|##        | 32/157 [00:01<00:07, 16.96it/s]
 22%|##1       | 34/157 [00:02<00:07, 17.01it/s]
 23%|##2       | 36/157 [00:02<00:07, 17.13it/s]
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 39%|###9      | 62/157 [00:03<00:05, 17.05it/s]
 41%|####      | 64/157 [00:03<00:05, 17.06it/s]
 42%|####2     | 66/157 [00:03<00:05, 17.09it/s]
 43%|####3     | 68/157 [00:04<00:05, 17.20it/s]
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 50%|####9     | 78/157 [00:04<00:04, 17.18it/s]
 51%|#####     | 80/157 [00:04<00:04, 16.95it/s]
 52%|#####2    | 82/157 [00:04<00:04, 17.03it/s]
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 80%|########  | 126/157 [00:07<00:01, 16.93it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.80it/s]
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100%|##########| 157/157 [00:09<00:00, 16.80it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
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  1%|          | 4/781 [00:00<00:47, 16.30it/s]
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  1%|1         | 8/781 [00:00<00:49, 15.64it/s]
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  2%|1         | 12/781 [00:00<01:01, 12.43it/s]
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  2%|2         | 16/781 [00:01<01:05, 11.64it/s]
  2%|2         | 18/781 [00:01<01:06, 11.46it/s]
  3%|2         | 20/781 [00:01<01:07, 11.34it/s]
  3%|2         | 22/781 [00:01<01:07, 11.26it/s]
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  6%|6         | 48/781 [00:04<01:02, 11.67it/s]
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  7%|6         | 54/781 [00:04<01:03, 11.54it/s]
  7%|7         | 56/781 [00:04<01:02, 11.51it/s]
  7%|7         | 58/781 [00:04<01:01, 11.68it/s]
  8%|7         | 60/781 [00:05<01:01, 11.76it/s]
  8%|7         | 62/781 [00:05<01:01, 11.71it/s]
  8%|8         | 64/781 [00:05<01:00, 11.78it/s]
  8%|8         | 66/781 [00:05<01:00, 11.73it/s]
  9%|8         | 68/781 [00:05<01:01, 11.68it/s]
  9%|8         | 70/781 [00:05<01:01, 11.62it/s]
  9%|9         | 72/781 [00:06<01:01, 11.60it/s]
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 10%|9         | 76/781 [00:06<01:00, 11.69it/s]
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 10%|#         | 80/781 [00:06<01:00, 11.60it/s]
 10%|#         | 82/781 [00:06<01:01, 11.43it/s]
 11%|#         | 84/781 [00:07<01:00, 11.56it/s]
 11%|#1        | 86/781 [00:07<01:00, 11.42it/s]
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 12%|#1        | 90/781 [00:07<01:00, 11.35it/s]
 12%|#1        | 92/781 [00:07<01:00, 11.42it/s]
 12%|#2        | 94/781 [00:08<01:00, 11.35it/s]
 12%|#2        | 96/781 [00:08<01:00, 11.36it/s]
 13%|#2        | 98/781 [00:08<00:59, 11.48it/s]
 13%|#2        | 100/781 [00:08<01:00, 11.33it/s]
 13%|#3        | 102/781 [00:08<00:59, 11.34it/s]
 13%|#3        | 104/781 [00:08<00:58, 11.51it/s]
 14%|#3        | 106/781 [00:09<00:58, 11.53it/s]
 14%|#3        | 108/781 [00:09<00:59, 11.37it/s]
 14%|#4        | 110/781 [00:09<00:59, 11.28it/s]
 14%|#4        | 112/781 [00:09<00:59, 11.26it/s]
 15%|#4        | 114/781 [00:09<00:58, 11.40it/s]
 15%|#4        | 116/781 [00:09<00:59, 11.20it/s]
 15%|#5        | 118/781 [00:10<00:59, 11.20it/s]
 15%|#5        | 120/781 [00:10<00:58, 11.36it/s]
 16%|#5        | 122/781 [00:10<00:58, 11.34it/s]
 16%|#5        | 124/781 [00:10<00:56, 11.54it/s]
 16%|#6        | 126/781 [00:10<00:59, 11.08it/s]
 16%|#6        | 128/781 [00:11<01:00, 10.78it/s]
 17%|#6        | 130/781 [00:11<00:59, 10.91it/s]
 17%|#6        | 132/781 [00:11<00:58, 11.06it/s]
 17%|#7        | 134/781 [00:11<00:58, 11.15it/s]
 17%|#7        | 136/781 [00:11<00:57, 11.27it/s]
 18%|#7        | 138/781 [00:11<00:56, 11.36it/s]
 18%|#7        | 140/781 [00:12<00:56, 11.29it/s]
 18%|#8        | 142/781 [00:12<00:56, 11.24it/s]
 18%|#8        | 144/781 [00:12<00:57, 11.03it/s]
 19%|#8        | 146/781 [00:12<00:56, 11.24it/s]
 19%|#8        | 148/781 [00:12<00:55, 11.40it/s]
 19%|#9        | 150/781 [00:12<00:55, 11.46it/s]
 19%|#9        | 152/781 [00:13<00:54, 11.45it/s]
 20%|#9        | 154/781 [00:13<00:53, 11.62it/s]
 20%|#9        | 156/781 [00:13<00:54, 11.56it/s]
 20%|##        | 158/781 [00:13<00:53, 11.64it/s]
 20%|##        | 160/781 [00:13<00:53, 11.70it/s]
 21%|##        | 162/781 [00:14<00:53, 11.61it/s]
 21%|##        | 164/781 [00:14<00:53, 11.43it/s]
 21%|##1       | 166/781 [00:14<00:53, 11.39it/s]
 22%|##1       | 168/781 [00:14<00:53, 11.50it/s]
 22%|##1       | 170/781 [00:14<00:53, 11.33it/s]
 22%|##2       | 172/781 [00:14<00:53, 11.46it/s]
 22%|##2       | 174/781 [00:15<00:53, 11.36it/s]
 23%|##2       | 176/781 [00:15<00:53, 11.39it/s]
 23%|##2       | 178/781 [00:15<00:52, 11.45it/s]
 23%|##3       | 180/781 [00:15<00:52, 11.42it/s]
 23%|##3       | 182/781 [00:15<00:52, 11.37it/s]
 24%|##3       | 184/781 [00:15<00:52, 11.41it/s]
 24%|##3       | 186/781 [00:16<00:51, 11.45it/s]
 24%|##4       | 188/781 [00:16<00:52, 11.34it/s]
 24%|##4       | 190/781 [00:16<00:51, 11.38it/s]
 25%|##4       | 192/781 [00:16<00:52, 11.29it/s]
 25%|##4       | 194/781 [00:16<00:52, 11.28it/s]
 25%|##5       | 196/781 [00:17<00:52, 11.17it/s]
 25%|##5       | 198/781 [00:17<00:51, 11.28it/s]
 26%|##5       | 200/781 [00:17<00:51, 11.22it/s]
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 26%|##6       | 204/781 [00:17<00:50, 11.48it/s]
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 27%|##6       | 208/781 [00:18<00:50, 11.40it/s]
 27%|##6       | 210/781 [00:18<00:49, 11.58it/s]
 27%|##7       | 212/781 [00:18<00:48, 11.71it/s]
 27%|##7       | 214/781 [00:18<00:49, 11.54it/s]
 28%|##7       | 216/781 [00:18<00:49, 11.49it/s]
 28%|##7       | 218/781 [00:18<00:48, 11.51it/s]
 28%|##8       | 220/781 [00:19<00:49, 11.40it/s]
 28%|##8       | 222/781 [00:19<00:48, 11.41it/s]
 29%|##8       | 224/781 [00:19<00:49, 11.33it/s]
 29%|##8       | 226/781 [00:19<00:49, 11.26it/s]
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 30%|##9       | 232/781 [00:20<00:49, 11.17it/s]
 30%|##9       | 234/781 [00:20<00:49, 11.11it/s]
 30%|###       | 236/781 [00:20<00:49, 10.99it/s]
 30%|###       | 238/781 [00:20<00:48, 11.15it/s]
 31%|###       | 240/781 [00:20<00:48, 11.14it/s]
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 33%|###2      | 254/781 [00:22<00:46, 11.40it/s]
 33%|###2      | 256/781 [00:22<00:46, 11.30it/s]
 33%|###3      | 258/781 [00:22<00:47, 11.10it/s]
 33%|###3      | 260/781 [00:22<00:47, 10.99it/s]
 34%|###3      | 262/781 [00:22<00:47, 10.97it/s]
 34%|###3      | 264/781 [00:23<00:46, 11.23it/s]
 34%|###4      | 266/781 [00:23<00:45, 11.44it/s]
 34%|###4      | 268/781 [00:23<00:44, 11.54it/s]
 35%|###4      | 270/781 [00:23<00:44, 11.53it/s]
 35%|###4      | 272/781 [00:23<00:43, 11.63it/s]
 35%|###5      | 274/781 [00:23<00:43, 11.59it/s]
 35%|###5      | 276/781 [00:24<00:44, 11.41it/s]
 36%|###5      | 278/781 [00:24<00:44, 11.31it/s]
 36%|###5      | 280/781 [00:24<00:43, 11.46it/s]
 36%|###6      | 282/781 [00:24<00:43, 11.49it/s]
 36%|###6      | 284/781 [00:24<00:42, 11.62it/s]
 37%|###6      | 286/781 [00:24<00:42, 11.59it/s]
 37%|###6      | 288/781 [00:25<00:42, 11.58it/s]
 37%|###7      | 290/781 [00:25<00:42, 11.67it/s]
 37%|###7      | 292/781 [00:25<00:42, 11.47it/s]
 38%|###7      | 294/781 [00:25<00:42, 11.35it/s]
 38%|###7      | 296/781 [00:25<00:42, 11.52it/s]
 38%|###8      | 298/781 [00:25<00:41, 11.65it/s]
 38%|###8      | 300/781 [00:26<00:41, 11.53it/s]
 39%|###8      | 302/781 [00:26<00:41, 11.49it/s]
 39%|###8      | 304/781 [00:26<00:41, 11.57it/s]
 39%|###9      | 306/781 [00:26<00:41, 11.49it/s]
 39%|###9      | 308/781 [00:26<00:41, 11.32it/s]
 40%|###9      | 310/781 [00:27<00:42, 11.20it/s]
 40%|###9      | 312/781 [00:27<00:41, 11.39it/s]
 40%|####      | 314/781 [00:27<00:40, 11.57it/s]
 40%|####      | 316/781 [00:27<00:39, 11.70it/s]
 41%|####      | 318/781 [00:27<00:39, 11.77it/s]
 41%|####      | 320/781 [00:27<00:39, 11.70it/s]
 41%|####1     | 322/781 [00:28<00:39, 11.74it/s]
 41%|####1     | 324/781 [00:28<00:38, 11.81it/s]
 42%|####1     | 326/781 [00:28<00:38, 11.74it/s]
 42%|####1     | 328/781 [00:28<00:38, 11.76it/s]
 42%|####2     | 330/781 [00:28<00:39, 11.54it/s]
 43%|####2     | 332/781 [00:28<00:39, 11.39it/s]
 43%|####2     | 334/781 [00:29<00:39, 11.29it/s]
 43%|####3     | 336/781 [00:29<00:39, 11.21it/s]
 43%|####3     | 338/781 [00:29<00:39, 11.24it/s]
 44%|####3     | 340/781 [00:29<00:38, 11.39it/s]
 44%|####3     | 342/781 [00:29<00:38, 11.36it/s]
 44%|####4     | 344/781 [00:29<00:38, 11.39it/s]
 44%|####4     | 346/781 [00:30<00:38, 11.31it/s]
 45%|####4     | 348/781 [00:30<00:38, 11.19it/s]
 45%|####4     | 350/781 [00:30<00:38, 11.12it/s]
 45%|####5     | 352/781 [00:30<00:39, 10.99it/s]
 45%|####5     | 354/781 [00:30<00:38, 11.17it/s]
 46%|####5     | 356/781 [00:31<00:37, 11.23it/s]
 46%|####5     | 358/781 [00:31<00:38, 11.12it/s]
 46%|####6     | 360/781 [00:31<00:37, 11.28it/s]
 46%|####6     | 362/781 [00:31<00:37, 11.25it/s]
 47%|####6     | 364/781 [00:31<00:37, 11.22it/s]
 47%|####6     | 366/781 [00:31<00:36, 11.26it/s]
 47%|####7     | 368/781 [00:32<00:36, 11.20it/s]
 47%|####7     | 370/781 [00:32<00:36, 11.30it/s]
 48%|####7     | 372/781 [00:32<00:36, 11.12it/s]
 48%|####7     | 374/781 [00:32<00:36, 11.22it/s]
 48%|####8     | 376/781 [00:32<00:35, 11.29it/s]
 48%|####8     | 378/781 [00:33<00:35, 11.46it/s]
 49%|####8     | 380/781 [00:33<00:35, 11.37it/s]
 49%|####8     | 382/781 [00:33<00:35, 11.25it/s]
 49%|####9     | 384/781 [00:33<00:35, 11.29it/s]
 49%|####9     | 386/781 [00:33<00:35, 11.20it/s]
 50%|####9     | 388/781 [00:33<00:34, 11.26it/s]
 50%|####9     | 390/781 [00:34<00:34, 11.46it/s]
 50%|#####     | 392/781 [00:34<00:33, 11.62it/s]
 50%|#####     | 394/781 [00:34<00:33, 11.45it/s]
 51%|#####     | 396/781 [00:34<00:34, 11.28it/s]
 51%|#####     | 398/781 [00:34<00:33, 11.27it/s]
 51%|#####1    | 400/781 [00:34<00:33, 11.27it/s]
 51%|#####1    | 402/781 [00:35<00:33, 11.41it/s]
 52%|#####1    | 404/781 [00:35<00:32, 11.51it/s]
 52%|#####1    | 406/781 [00:35<00:32, 11.36it/s]
 52%|#####2    | 408/781 [00:35<00:33, 11.25it/s]
 52%|#####2    | 410/781 [00:35<00:32, 11.43it/s]
 53%|#####2    | 412/781 [00:36<00:32, 11.34it/s]
 53%|#####3    | 414/781 [00:36<00:32, 11.35it/s]
 53%|#####3    | 416/781 [00:36<00:31, 11.41it/s]
 54%|#####3    | 418/781 [00:36<00:31, 11.38it/s]
 54%|#####3    | 420/781 [00:36<00:32, 11.26it/s]
 54%|#####4    | 422/781 [00:36<00:32, 11.15it/s]
 54%|#####4    | 424/781 [00:37<00:32, 11.09it/s]
 55%|#####4    | 426/781 [00:37<00:31, 11.17it/s]
 55%|#####4    | 428/781 [00:37<00:31, 11.14it/s]
 55%|#####5    | 430/781 [00:37<00:31, 11.32it/s]
 55%|#####5    | 432/781 [00:37<00:31, 11.24it/s]
 56%|#####5    | 434/781 [00:37<00:30, 11.42it/s]
 56%|#####5    | 436/781 [00:38<00:29, 11.58it/s]
 56%|#####6    | 438/781 [00:38<00:29, 11.56it/s]
 56%|#####6    | 440/781 [00:38<00:29, 11.50it/s]
 57%|#####6    | 442/781 [00:38<00:29, 11.58it/s]
 57%|#####6    | 444/781 [00:38<00:29, 11.53it/s]
 57%|#####7    | 446/781 [00:38<00:29, 11.51it/s]
 57%|#####7    | 448/781 [00:39<00:29, 11.26it/s]
 58%|#####7    | 450/781 [00:39<00:29, 11.40it/s]
 58%|#####7    | 452/781 [00:39<00:28, 11.42it/s]
 58%|#####8    | 454/781 [00:39<00:28, 11.55it/s]
 58%|#####8    | 456/781 [00:39<00:28, 11.54it/s]
 59%|#####8    | 458/781 [00:40<00:28, 11.31it/s]
 59%|#####8    | 460/781 [00:40<00:28, 11.31it/s]
 59%|#####9    | 462/781 [00:40<00:28, 11.20it/s]
 59%|#####9    | 464/781 [00:40<00:28, 11.19it/s]
 60%|#####9    | 466/781 [00:40<00:28, 11.11it/s]
 60%|#####9    | 468/781 [00:40<00:28, 11.11it/s]
 60%|######    | 470/781 [00:41<00:27, 11.22it/s]
 60%|######    | 472/781 [00:41<00:27, 11.21it/s]
 61%|######    | 474/781 [00:41<00:27, 11.15it/s]
 61%|######    | 476/781 [00:41<00:27, 11.11it/s]
 61%|######1   | 478/781 [00:41<00:27, 11.08it/s]
 61%|######1   | 480/781 [00:42<00:26, 11.18it/s]
 62%|######1   | 482/781 [00:42<00:26, 11.37it/s]
 62%|######1   | 484/781 [00:42<00:25, 11.53it/s]
 62%|######2   | 486/781 [00:42<00:25, 11.65it/s]
 62%|######2   | 488/781 [00:42<00:24, 11.74it/s]
 63%|######2   | 490/781 [00:42<00:24, 11.64it/s]
 63%|######2   | 492/781 [00:43<00:25, 11.44it/s]
 63%|######3   | 494/781 [00:43<00:25, 11.41it/s]
 64%|######3   | 496/781 [00:43<00:24, 11.44it/s]
 64%|######3   | 498/781 [00:43<00:25, 11.27it/s]
 64%|######4   | 500/781 [00:43<00:25, 11.15it/s]
 64%|######4   | 502/781 [00:43<00:25, 11.14it/s]
 65%|######4   | 504/781 [00:44<00:24, 11.36it/s]
 65%|######4   | 506/781 [00:44<00:23, 11.53it/s]
 65%|######5   | 508/781 [00:44<00:23, 11.53it/s]
 65%|######5   | 510/781 [00:44<00:23, 11.50it/s]
 66%|######5   | 512/781 [00:44<00:23, 11.49it/s]
 66%|######5   | 514/781 [00:44<00:23, 11.44it/s]
 66%|######6   | 516/781 [00:45<00:23, 11.33it/s]
 66%|######6   | 518/781 [00:45<00:23, 11.23it/s]
 67%|######6   | 520/781 [00:45<00:23, 11.17it/s]
 67%|######6   | 522/781 [00:45<00:22, 11.30it/s]
 67%|######7   | 524/781 [00:45<00:22, 11.20it/s]
 67%|######7   | 526/781 [00:46<00:22, 11.26it/s]
 68%|######7   | 528/781 [00:46<00:22, 11.18it/s]
 68%|######7   | 530/781 [00:46<00:22, 11.34it/s]
 68%|######8   | 532/781 [00:46<00:22, 11.31it/s]
 68%|######8   | 534/781 [00:46<00:21, 11.29it/s]
 69%|######8   | 536/781 [00:46<00:21, 11.17it/s]
 69%|######8   | 538/781 [00:47<00:21, 11.09it/s]
 69%|######9   | 540/781 [00:47<00:21, 11.06it/s]
 69%|######9   | 542/781 [00:47<00:21, 11.04it/s]
 70%|######9   | 544/781 [00:47<00:21, 11.02it/s]
 70%|######9   | 546/781 [00:47<00:21, 11.11it/s]
 70%|#######   | 548/781 [00:48<00:21, 11.09it/s]
 70%|#######   | 550/781 [00:48<00:20, 11.01it/s]
 71%|#######   | 552/781 [00:48<00:20, 11.00it/s]
 71%|#######   | 554/781 [00:48<00:20, 10.97it/s]
 71%|#######1  | 556/781 [00:48<00:20, 11.05it/s]
 71%|#######1  | 558/781 [00:48<00:20, 11.04it/s]
 72%|#######1  | 560/781 [00:49<00:20, 11.01it/s]
 72%|#######1  | 562/781 [00:49<00:19, 11.00it/s]
 72%|#######2  | 564/781 [00:49<00:19, 10.99it/s]
 72%|#######2  | 566/781 [00:49<00:19, 10.99it/s]
 73%|#######2  | 568/781 [00:49<00:19, 10.98it/s]
 73%|#######2  | 570/781 [00:50<00:19, 10.92it/s]
 73%|#######3  | 572/781 [00:50<00:19, 10.89it/s]
 73%|#######3  | 574/781 [00:50<00:18, 11.03it/s]
 74%|#######3  | 576/781 [00:50<00:18, 11.21it/s]
 74%|#######4  | 578/781 [00:50<00:17, 11.40it/s]
 74%|#######4  | 580/781 [00:50<00:17, 11.40it/s]
 75%|#######4  | 582/781 [00:51<00:17, 11.36it/s]
 75%|#######4  | 584/781 [00:51<00:17, 11.38it/s]
 75%|#######5  | 586/781 [00:51<00:17, 11.21it/s]
 75%|#######5  | 588/781 [00:51<00:17, 11.09it/s]
 76%|#######5  | 590/781 [00:51<00:17, 11.02it/s]
 76%|#######5  | 592/781 [00:52<00:16, 11.17it/s]
 76%|#######6  | 594/781 [00:52<00:16, 11.17it/s]
 76%|#######6  | 596/781 [00:52<00:16, 11.16it/s]
 77%|#######6  | 598/781 [00:52<00:16, 11.30it/s]
 77%|#######6  | 600/781 [00:52<00:16, 11.15it/s]
 77%|#######7  | 602/781 [00:52<00:16, 11.05it/s]
 77%|#######7  | 604/781 [00:53<00:16, 11.02it/s]
 78%|#######7  | 606/781 [00:53<00:15, 10.99it/s]
 78%|#######7  | 608/781 [00:53<00:15, 11.02it/s]
 78%|#######8  | 610/781 [00:53<00:15, 10.97it/s]
 78%|#######8  | 612/781 [00:53<00:15, 11.05it/s]
 79%|#######8  | 614/781 [00:53<00:15, 11.04it/s]
 79%|#######8  | 616/781 [00:54<00:14, 11.14it/s]
 79%|#######9  | 618/781 [00:54<00:14, 11.08it/s]
 79%|#######9  | 620/781 [00:54<00:14, 11.26it/s]
 80%|#######9  | 622/781 [00:54<00:13, 11.43it/s]
 80%|#######9  | 624/781 [00:54<00:13, 11.31it/s]
 80%|########  | 626/781 [00:55<00:13, 11.34it/s]
 80%|########  | 628/781 [00:55<00:13, 11.21it/s]
 81%|########  | 630/781 [00:55<00:13, 11.23it/s]
 81%|########  | 632/781 [00:55<00:13, 11.15it/s]
 81%|########1 | 634/781 [00:55<00:13, 11.22it/s]
 81%|########1 | 636/781 [00:55<00:12, 11.26it/s]
 82%|########1 | 638/781 [00:56<00:12, 11.31it/s]
 82%|########1 | 640/781 [00:56<00:12, 11.37it/s]
 82%|########2 | 642/781 [00:56<00:12, 11.37it/s]
 82%|########2 | 644/781 [00:56<00:11, 11.44it/s]
 83%|########2 | 646/781 [00:56<00:11, 11.31it/s]
 83%|########2 | 648/781 [00:56<00:11, 11.23it/s]
 83%|########3 | 650/781 [00:57<00:11, 11.12it/s]
 83%|########3 | 652/781 [00:57<00:11, 11.14it/s]
 84%|########3 | 654/781 [00:57<00:11, 11.13it/s]
 84%|########3 | 656/781 [00:57<00:11, 11.17it/s]
 84%|########4 | 658/781 [00:57<00:11, 11.06it/s]
 85%|########4 | 660/781 [00:58<00:10, 11.09it/s]
 85%|########4 | 662/781 [00:58<00:10, 11.00it/s]
 85%|########5 | 664/781 [00:58<00:10, 10.97it/s]
 85%|########5 | 666/781 [00:58<00:11,  9.92it/s]
 86%|########5 | 668/781 [00:58<00:10, 10.28it/s]
 86%|########5 | 670/781 [00:59<00:10, 10.60it/s]
 86%|########6 | 672/781 [00:59<00:10, 10.70it/s]
 86%|########6 | 674/781 [00:59<00:09, 11.02it/s]
 87%|########6 | 676/781 [00:59<00:09, 11.23it/s]
 87%|########6 | 678/781 [00:59<00:09, 11.16it/s]
 87%|########7 | 680/781 [00:59<00:09, 11.21it/s]
 87%|########7 | 682/781 [01:00<00:08, 11.20it/s]
 88%|########7 | 684/781 [01:00<00:08, 11.31it/s]
 88%|########7 | 686/781 [01:00<00:08, 11.32it/s]
 88%|########8 | 688/781 [01:00<00:08, 11.19it/s]
 88%|########8 | 690/781 [01:00<00:08, 11.35it/s]
 89%|########8 | 692/781 [01:00<00:07, 11.19it/s]
 89%|########8 | 694/781 [01:01<00:07, 11.12it/s]
 89%|########9 | 696/781 [01:01<00:07, 11.11it/s]
 89%|########9 | 698/781 [01:01<00:07, 11.27it/s]
 90%|########9 | 700/781 [01:01<00:07, 11.27it/s]
 90%|########9 | 702/781 [01:01<00:07, 11.22it/s]
 90%|######### | 704/781 [01:02<00:06, 11.24it/s]
 90%|######### | 706/781 [01:02<00:06, 11.32it/s]
 91%|######### | 708/781 [01:02<00:06, 11.45it/s]
 91%|######### | 710/781 [01:02<00:06, 11.32it/s]
 91%|#########1| 712/781 [01:02<00:06, 11.33it/s]
 91%|#########1| 714/781 [01:02<00:05, 11.33it/s]
 92%|#########1| 716/781 [01:03<00:05, 11.26it/s]
 92%|#########1| 718/781 [01:03<00:05, 11.18it/s]
 92%|#########2| 720/781 [01:03<00:05, 11.12it/s]
 92%|#########2| 722/781 [01:03<00:05, 11.05it/s]
 93%|#########2| 724/781 [01:03<00:05, 11.00it/s]
 93%|#########2| 726/781 [01:04<00:05, 10.99it/s]
 93%|#########3| 728/781 [01:04<00:04, 11.00it/s]
 93%|#########3| 730/781 [01:04<00:04, 11.02it/s]
 94%|#########3| 732/781 [01:04<00:04, 11.01it/s]
 94%|#########3| 734/781 [01:04<00:04, 11.01it/s]
 94%|#########4| 736/781 [01:04<00:04, 10.99it/s]
 94%|#########4| 738/781 [01:05<00:03, 10.99it/s]
 95%|#########4| 740/781 [01:05<00:03, 10.99it/s]
 95%|#########5| 742/781 [01:05<00:03, 11.00it/s]
 95%|#########5| 744/781 [01:05<00:03, 11.00it/s]
 96%|#########5| 746/781 [01:05<00:03, 10.99it/s]
 96%|#########5| 748/781 [01:06<00:03, 10.98it/s]
 96%|#########6| 750/781 [01:06<00:02, 10.99it/s]
 96%|#########6| 752/781 [01:06<00:02, 10.96it/s]
 97%|#########6| 754/781 [01:06<00:02, 10.90it/s]
 97%|#########6| 756/781 [01:06<00:02, 10.89it/s]
 97%|#########7| 758/781 [01:06<00:02, 10.89it/s]
 97%|#########7| 760/781 [01:07<00:01, 10.80it/s]
 98%|#########7| 762/781 [01:07<00:01, 10.83it/s]
 98%|#########7| 764/781 [01:07<00:01, 10.86it/s]
 98%|#########8| 766/781 [01:07<00:01, 10.91it/s]
 98%|#########8| 768/781 [01:07<00:01, 10.92it/s]
 99%|#########8| 770/781 [01:08<00:01, 10.92it/s]
 99%|#########8| 772/781 [01:08<00:00, 10.89it/s]
 99%|#########9| 774/781 [01:08<00:00, 10.90it/s]
 99%|#########9| 776/781 [01:08<00:00, 10.91it/s]
100%|#########9| 778/781 [01:08<00:00, 10.92it/s]
100%|#########9| 780/781 [01:08<00:00, 10.93it/s]
100%|##########| 781/781 [01:09<00:00, 11.31it/s]




Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:41,  1.03it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:42,  1.01it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:42,  1.00it/s]
Validation Progress:   2%|2         | 1/44 [00:01<00:46,  1.08s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:43,  1.04s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:43,  1.05s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:44,  1.05s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:45,  1.08s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:41,  1.01s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:41,  1.01s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:41,  1.01s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:41,  1.02s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:39,  1.01it/s]
Validation Progress:   9%|9         | 4/44 [00:04<00:40,  1.01s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:40,  1.00s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:40,  1.02s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:41,  1.06s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:41,  1.06s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:41,  1.06s/it]
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  4%|4         | 34/781 [00:01<00:41, 17.95it/s]
  5%|4         | 36/781 [00:02<00:41, 17.97it/s]
  5%|4         | 38/781 [00:02<00:41, 17.97it/s]
  5%|5         | 40/781 [00:02<00:41, 18.00it/s]
  5%|5         | 42/781 [00:02<00:40, 18.03it/s]
  6%|5         | 44/781 [00:02<00:41, 17.91it/s]
  6%|5         | 46/781 [00:02<00:41, 17.91it/s]
  6%|6         | 48/781 [00:02<00:41, 17.85it/s]
  6%|6         | 50/781 [00:02<00:40, 17.87it/s]
  7%|6         | 53/781 [00:02<00:38, 18.89it/s]
  7%|7         | 55/781 [00:03<00:38, 18.95it/s]
  7%|7         | 58/781 [00:03<00:36, 19.70it/s]
  8%|7         | 61/781 [00:03<00:35, 20.17it/s]
  8%|8         | 64/781 [00:03<00:36, 19.84it/s]
  9%|8         | 67/781 [00:03<00:35, 19.84it/s]
  9%|8         | 70/781 [00:03<00:35, 19.97it/s]
  9%|9         | 73/781 [00:03<00:35, 19.94it/s]
 10%|9         | 75/781 [00:04<00:36, 19.38it/s]
 10%|9         | 78/781 [00:04<00:35, 19.86it/s]
 10%|#         | 80/781 [00:04<00:35, 19.86it/s]
 11%|#         | 83/781 [00:04<00:34, 20.18it/s]
 11%|#1        | 86/781 [00:04<00:33, 20.52it/s]
 11%|#1        | 89/781 [00:04<00:33, 20.60it/s]
 12%|#1        | 92/781 [00:04<00:34, 20.24it/s]
 12%|#2        | 95/781 [00:05<00:33, 20.57it/s]
 13%|#2        | 98/781 [00:05<00:32, 20.78it/s]
 13%|#2        | 101/781 [00:05<00:32, 20.68it/s]
 13%|#3        | 104/781 [00:05<00:33, 20.35it/s]
 14%|#3        | 107/781 [00:05<00:33, 20.24it/s]
 14%|#4        | 110/781 [00:05<00:32, 20.51it/s]
 14%|#4        | 113/781 [00:05<00:32, 20.72it/s]
 15%|#4        | 116/781 [00:06<00:33, 19.93it/s]
 15%|#5        | 119/781 [00:06<00:33, 19.88it/s]
 15%|#5        | 121/781 [00:06<00:33, 19.89it/s]
 16%|#5        | 123/781 [00:06<00:33, 19.77it/s]
 16%|#6        | 126/781 [00:06<00:32, 20.09it/s]
 17%|#6        | 129/781 [00:06<00:31, 20.43it/s]
 17%|#6        | 132/781 [00:06<00:31, 20.44it/s]
 17%|#7        | 135/781 [00:07<00:32, 19.96it/s]
 18%|#7        | 137/781 [00:07<00:32, 19.69it/s]
 18%|#7        | 139/781 [00:07<00:32, 19.51it/s]
 18%|#8        | 142/781 [00:07<00:31, 20.01it/s]
 19%|#8        | 145/781 [00:07<00:31, 20.13it/s]
 19%|#8        | 148/781 [00:07<00:31, 19.98it/s]
 19%|#9        | 151/781 [00:07<00:31, 20.08it/s]
 20%|#9        | 154/781 [00:08<00:31, 19.94it/s]
 20%|#9        | 156/781 [00:08<00:31, 19.93it/s]
 20%|##        | 159/781 [00:08<00:30, 20.21it/s]
 21%|##        | 162/781 [00:08<00:30, 20.39it/s]
 21%|##1       | 165/781 [00:08<00:31, 19.54it/s]
 21%|##1       | 167/781 [00:08<00:32, 19.04it/s]
 22%|##1       | 169/781 [00:08<00:31, 19.18it/s]
 22%|##1       | 171/781 [00:08<00:32, 18.83it/s]
 22%|##2       | 173/781 [00:08<00:32, 18.76it/s]
 22%|##2       | 175/781 [00:09<00:32, 18.58it/s]
 23%|##2       | 178/781 [00:09<00:31, 19.09it/s]
 23%|##3       | 180/781 [00:09<00:31, 19.09it/s]
 23%|##3       | 182/781 [00:09<00:31, 18.87it/s]
 24%|##3       | 184/781 [00:09<00:31, 18.98it/s]
 24%|##3       | 186/781 [00:09<00:31, 18.67it/s]
 24%|##4       | 188/781 [00:09<00:31, 18.88it/s]
 24%|##4       | 191/781 [00:09<00:30, 19.55it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.46it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.08it/s]
 25%|##5       | 198/781 [00:10<00:30, 19.16it/s]
 26%|##5       | 200/781 [00:10<00:30, 19.00it/s]
 26%|##5       | 203/781 [00:10<00:29, 19.31it/s]
 26%|##6       | 205/781 [00:10<00:29, 19.23it/s]
 27%|##6       | 207/781 [00:10<00:31, 18.48it/s]
 27%|##6       | 209/781 [00:10<00:30, 18.86it/s]
 27%|##7       | 211/781 [00:11<00:30, 18.59it/s]
 27%|##7       | 213/781 [00:11<00:30, 18.58it/s]
 28%|##7       | 215/781 [00:11<00:30, 18.48it/s]
 28%|##7       | 218/781 [00:11<00:29, 18.94it/s]
 28%|##8       | 220/781 [00:11<00:29, 19.06it/s]
 28%|##8       | 222/781 [00:11<00:29, 19.03it/s]
 29%|##8       | 224/781 [00:11<00:28, 19.28it/s]
 29%|##8       | 226/781 [00:11<00:29, 18.87it/s]
 29%|##9       | 228/781 [00:11<00:29, 18.56it/s]
 29%|##9       | 230/781 [00:12<00:30, 18.36it/s]
 30%|##9       | 232/781 [00:12<00:30, 18.24it/s]
 30%|##9       | 234/781 [00:12<00:30, 18.15it/s]
 30%|###       | 236/781 [00:12<00:30, 18.10it/s]
 30%|###       | 238/781 [00:12<00:30, 17.94it/s]
 31%|###       | 240/781 [00:12<00:30, 17.81it/s]
 31%|###       | 242/781 [00:12<00:30, 17.86it/s]
 31%|###1      | 244/781 [00:12<00:30, 17.84it/s]
 31%|###1      | 246/781 [00:12<00:30, 17.80it/s]
 32%|###1      | 248/781 [00:13<00:29, 17.82it/s]
 32%|###2      | 250/781 [00:13<00:29, 17.73it/s]
 32%|###2      | 252/781 [00:13<00:29, 18.21it/s]
 33%|###2      | 255/781 [00:13<00:27, 19.01it/s]
 33%|###2      | 257/781 [00:13<00:27, 19.02it/s]
 33%|###3      | 260/781 [00:13<00:26, 19.40it/s]
 34%|###3      | 262/781 [00:13<00:27, 18.77it/s]
 34%|###3      | 265/781 [00:13<00:27, 19.02it/s]
 34%|###4      | 267/781 [00:14<00:27, 18.63it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.13it/s]
 35%|###4      | 273/781 [00:14<00:25, 19.72it/s]
 35%|###5      | 275/781 [00:14<00:26, 19.42it/s]
 35%|###5      | 277/781 [00:14<00:26, 19.32it/s]
 36%|###5      | 279/781 [00:14<00:25, 19.36it/s]
 36%|###5      | 281/781 [00:14<00:25, 19.53it/s]
 36%|###6      | 283/781 [00:14<00:25, 19.45it/s]
 37%|###6      | 286/781 [00:14<00:25, 19.42it/s]
 37%|###6      | 288/781 [00:15<00:25, 19.46it/s]
 37%|###7      | 290/781 [00:15<00:25, 19.47it/s]
 37%|###7      | 292/781 [00:15<00:25, 19.40it/s]
 38%|###7      | 295/781 [00:15<00:24, 20.14it/s]
 38%|###8      | 298/781 [00:15<00:24, 19.89it/s]
 38%|###8      | 300/781 [00:15<00:24, 19.71it/s]
 39%|###8      | 303/781 [00:15<00:23, 20.32it/s]
 39%|###9      | 306/781 [00:15<00:22, 20.77it/s]
 40%|###9      | 309/781 [00:16<00:22, 21.05it/s]
 40%|###9      | 312/781 [00:16<00:22, 20.78it/s]
 40%|####      | 315/781 [00:16<00:22, 20.71it/s]
 41%|####      | 318/781 [00:16<00:22, 20.39it/s]
 41%|####1     | 321/781 [00:16<00:22, 20.09it/s]
 41%|####1     | 324/781 [00:16<00:22, 20.28it/s]
 42%|####1     | 327/781 [00:17<00:23, 19.62it/s]
 42%|####2     | 330/781 [00:17<00:22, 20.01it/s]
 43%|####2     | 333/781 [00:17<00:21, 20.43it/s]
 43%|####3     | 336/781 [00:17<00:22, 19.97it/s]
 43%|####3     | 339/781 [00:17<00:22, 19.68it/s]
 44%|####3     | 341/781 [00:17<00:22, 19.56it/s]
 44%|####4     | 344/781 [00:17<00:22, 19.49it/s]
 44%|####4     | 346/781 [00:17<00:22, 19.48it/s]
 45%|####4     | 348/781 [00:18<00:22, 19.36it/s]
 45%|####4     | 351/781 [00:18<00:21, 19.63it/s]
 45%|####5     | 353/781 [00:18<00:22, 19.34it/s]
 46%|####5     | 356/781 [00:18<00:21, 19.63it/s]
 46%|####5     | 358/781 [00:18<00:22, 19.21it/s]
 46%|####6     | 360/781 [00:18<00:21, 19.28it/s]
 46%|####6     | 363/781 [00:18<00:21, 19.71it/s]
 47%|####6     | 366/781 [00:19<00:20, 19.85it/s]
 47%|####7     | 369/781 [00:19<00:20, 20.20it/s]
 48%|####7     | 372/781 [00:19<00:21, 19.48it/s]
 48%|####8     | 375/781 [00:19<00:20, 19.66it/s]
 48%|####8     | 377/781 [00:19<00:20, 19.50it/s]
 49%|####8     | 380/781 [00:19<00:19, 20.07it/s]
 49%|####9     | 383/781 [00:19<00:19, 20.46it/s]
 49%|####9     | 386/781 [00:20<00:19, 19.75it/s]
 50%|####9     | 388/781 [00:20<00:20, 19.32it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.11it/s]
 50%|#####     | 392/781 [00:20<00:20, 18.79it/s]
 50%|#####     | 394/781 [00:20<00:20, 18.86it/s]
 51%|#####     | 396/781 [00:20<00:20, 18.78it/s]
 51%|#####1    | 399/781 [00:20<00:19, 19.52it/s]
 51%|#####1    | 402/781 [00:20<00:18, 20.20it/s]
 52%|#####1    | 405/781 [00:20<00:18, 19.93it/s]
 52%|#####2    | 407/781 [00:21<00:18, 19.73it/s]
 52%|#####2    | 410/781 [00:21<00:18, 20.32it/s]
 53%|#####2    | 413/781 [00:21<00:18, 20.26it/s]
 53%|#####3    | 416/781 [00:21<00:17, 20.33it/s]
 54%|#####3    | 419/781 [00:21<00:17, 20.14it/s]
 54%|#####4    | 422/781 [00:21<00:17, 20.40it/s]
 54%|#####4    | 425/781 [00:21<00:17, 20.34it/s]
 55%|#####4    | 428/781 [00:22<00:17, 20.69it/s]
 55%|#####5    | 431/781 [00:22<00:16, 20.94it/s]
 56%|#####5    | 434/781 [00:22<00:16, 20.86it/s]
 56%|#####5    | 437/781 [00:22<00:17, 20.12it/s]
 56%|#####6    | 440/781 [00:22<00:16, 20.09it/s]
 57%|#####6    | 443/781 [00:22<00:17, 19.55it/s]
 57%|#####7    | 446/781 [00:23<00:17, 19.51it/s]
 57%|#####7    | 448/781 [00:23<00:17, 19.57it/s]
 58%|#####7    | 451/781 [00:23<00:16, 19.79it/s]
 58%|#####8    | 453/781 [00:23<00:16, 19.70it/s]
 58%|#####8    | 455/781 [00:23<00:16, 19.24it/s]
 59%|#####8    | 458/781 [00:23<00:16, 19.70it/s]
 59%|#####9    | 461/781 [00:23<00:15, 20.00it/s]
 59%|#####9    | 463/781 [00:23<00:16, 19.35it/s]
 60%|#####9    | 465/781 [00:24<00:16, 18.83it/s]
 60%|#####9    | 467/781 [00:24<00:16, 18.82it/s]
 60%|######    | 469/781 [00:24<00:16, 18.79it/s]
 60%|######    | 472/781 [00:24<00:15, 19.64it/s]
 61%|######    | 475/781 [00:24<00:15, 19.79it/s]
 61%|######1   | 478/781 [00:24<00:15, 19.64it/s]
 61%|######1   | 480/781 [00:24<00:15, 19.17it/s]
 62%|######1   | 483/781 [00:24<00:15, 19.75it/s]
 62%|######2   | 485/781 [00:25<00:15, 19.35it/s]
 62%|######2   | 487/781 [00:25<00:15, 18.96it/s]
 63%|######2   | 489/781 [00:25<00:15, 19.05it/s]
 63%|######2   | 492/781 [00:25<00:14, 19.70it/s]
 63%|######3   | 495/781 [00:25<00:14, 20.24it/s]
 64%|######3   | 498/781 [00:25<00:13, 20.33it/s]
 64%|######4   | 501/781 [00:25<00:13, 20.08it/s]
 65%|######4   | 504/781 [00:25<00:13, 20.45it/s]
 65%|######4   | 507/781 [00:26<00:13, 20.07it/s]
 65%|######5   | 510/781 [00:26<00:13, 19.66it/s]
 66%|######5   | 513/781 [00:26<00:13, 20.00it/s]
 66%|######6   | 516/781 [00:26<00:13, 20.03it/s]
 66%|######6   | 519/781 [00:26<00:12, 20.43it/s]
 67%|######6   | 522/781 [00:26<00:12, 20.31it/s]
 67%|######7   | 525/781 [00:27<00:12, 20.62it/s]
 68%|######7   | 528/781 [00:27<00:12, 20.21it/s]
 68%|######7   | 531/781 [00:27<00:12, 20.06it/s]
 68%|######8   | 534/781 [00:27<00:12, 20.44it/s]
 69%|######8   | 537/781 [00:27<00:11, 20.69it/s]
 69%|######9   | 540/781 [00:27<00:11, 20.55it/s]
 70%|######9   | 543/781 [00:27<00:11, 20.01it/s]
 70%|######9   | 546/781 [00:28<00:12, 19.40it/s]
 70%|#######   | 549/781 [00:28<00:11, 19.61it/s]
 71%|#######   | 551/781 [00:28<00:12, 19.16it/s]
 71%|#######   | 554/781 [00:28<00:11, 19.71it/s]
 71%|#######1  | 556/781 [00:28<00:11, 19.40it/s]
 71%|#######1  | 558/781 [00:28<00:11, 19.42it/s]
 72%|#######1  | 561/781 [00:28<00:11, 19.66it/s]
 72%|#######2  | 563/781 [00:28<00:11, 19.51it/s]
 72%|#######2  | 566/781 [00:29<00:10, 19.87it/s]
 73%|#######2  | 569/781 [00:29<00:10, 20.22it/s]
 73%|#######3  | 572/781 [00:29<00:10, 19.93it/s]
 73%|#######3  | 574/781 [00:29<00:10, 19.67it/s]
 74%|#######3  | 576/781 [00:29<00:10, 19.26it/s]
 74%|#######4  | 578/781 [00:29<00:10, 19.23it/s]
 74%|#######4  | 580/781 [00:29<00:10, 19.41it/s]
 75%|#######4  | 582/781 [00:29<00:10, 18.96it/s]
 75%|#######4  | 584/781 [00:30<00:10, 18.62it/s]
 75%|#######5  | 586/781 [00:30<00:10, 18.39it/s]
 75%|#######5  | 588/781 [00:30<00:10, 18.29it/s]
 76%|#######5  | 590/781 [00:30<00:10, 18.59it/s]
 76%|#######5  | 592/781 [00:30<00:10, 18.38it/s]
 76%|#######6  | 594/781 [00:30<00:10, 18.22it/s]
 76%|#######6  | 596/781 [00:30<00:10, 18.09it/s]
 77%|#######6  | 598/781 [00:30<00:10, 18.01it/s]
 77%|#######6  | 600/781 [00:30<00:10, 18.02it/s]
 77%|#######7  | 602/781 [00:31<00:09, 17.98it/s]
 77%|#######7  | 604/781 [00:31<00:09, 18.00it/s]
 78%|#######7  | 606/781 [00:31<00:09, 17.99it/s]
 78%|#######7  | 608/781 [00:31<00:09, 17.98it/s]
 78%|#######8  | 610/781 [00:31<00:09, 17.95it/s]
 78%|#######8  | 612/781 [00:31<00:09, 17.94it/s]
 79%|#######8  | 614/781 [00:31<00:09, 17.93it/s]
 79%|#######8  | 616/781 [00:31<00:09, 17.95it/s]
 79%|#######9  | 618/781 [00:31<00:09, 17.97it/s]
 79%|#######9  | 620/781 [00:32<00:08, 17.98it/s]
 80%|#######9  | 622/781 [00:32<00:08, 17.84it/s]
 80%|#######9  | 624/781 [00:32<00:08, 17.70it/s]
 80%|########  | 626/781 [00:32<00:08, 17.68it/s]
 80%|########  | 628/781 [00:32<00:08, 17.77it/s]
 81%|########  | 630/781 [00:32<00:08, 17.61it/s]
 81%|########1 | 633/781 [00:32<00:07, 18.66it/s]
 81%|########1 | 635/781 [00:32<00:07, 18.85it/s]
 82%|########1 | 638/781 [00:33<00:07, 19.30it/s]
 82%|########1 | 640/781 [00:33<00:07, 19.35it/s]
 82%|########2 | 643/781 [00:33<00:06, 19.80it/s]
 83%|########2 | 646/781 [00:33<00:06, 20.03it/s]
 83%|########2 | 648/781 [00:33<00:06, 19.30it/s]
 83%|########3 | 650/781 [00:33<00:06, 19.32it/s]
 84%|########3 | 653/781 [00:33<00:06, 19.48it/s]
 84%|########3 | 655/781 [00:33<00:06, 19.37it/s]
 84%|########4 | 658/781 [00:34<00:06, 20.03it/s]
 85%|########4 | 661/781 [00:34<00:05, 20.40it/s]
 85%|########5 | 664/781 [00:34<00:05, 20.20it/s]
 85%|########5 | 667/781 [00:34<00:05, 20.59it/s]
 86%|########5 | 670/781 [00:34<00:05, 19.85it/s]
 86%|########6 | 672/781 [00:34<00:05, 19.43it/s]
 86%|########6 | 675/781 [00:34<00:05, 19.89it/s]
 87%|########6 | 678/781 [00:35<00:05, 19.72it/s]
 87%|########7 | 681/781 [00:35<00:04, 20.16it/s]
 88%|########7 | 684/781 [00:35<00:04, 20.58it/s]
 88%|########7 | 687/781 [00:35<00:04, 20.92it/s]
 88%|########8 | 690/781 [00:35<00:04, 21.13it/s]
 89%|########8 | 693/781 [00:35<00:04, 21.27it/s]
 89%|########9 | 696/781 [00:35<00:03, 21.33it/s]
 90%|########9 | 699/781 [00:36<00:03, 20.62it/s]
 90%|########9 | 702/781 [00:36<00:03, 20.88it/s]
 90%|######### | 705/781 [00:36<00:03, 21.06it/s]
 91%|######### | 708/781 [00:36<00:03, 21.16it/s]
 91%|#########1| 711/781 [00:36<00:03, 21.30it/s]
 91%|#########1| 714/781 [00:36<00:03, 21.09it/s]
 92%|#########1| 717/781 [00:36<00:03, 20.46it/s]
 92%|#########2| 720/781 [00:37<00:03, 20.02it/s]
 93%|#########2| 723/781 [00:37<00:02, 20.33it/s]
 93%|#########2| 726/781 [00:37<00:02, 20.68it/s]
 93%|#########3| 729/781 [00:37<00:02, 20.68it/s]
 94%|#########3| 732/781 [00:37<00:02, 20.81it/s]
 94%|#########4| 735/781 [00:37<00:02, 21.03it/s]
 94%|#########4| 738/781 [00:37<00:02, 20.92it/s]
 95%|#########4| 741/781 [00:38<00:01, 20.56it/s]
 95%|#########5| 744/781 [00:38<00:01, 20.17it/s]
 96%|#########5| 747/781 [00:38<00:01, 20.47it/s]
 96%|#########6| 750/781 [00:38<00:01, 20.41it/s]
 96%|#########6| 753/781 [00:38<00:01, 20.45it/s]
 97%|#########6| 756/781 [00:38<00:01, 20.64it/s]
 97%|#########7| 759/781 [00:38<00:01, 20.62it/s]
 98%|#########7| 762/781 [00:39<00:00, 20.04it/s]
 98%|#########7| 765/781 [00:39<00:00, 20.09it/s]
 98%|#########8| 768/781 [00:39<00:00, 20.33it/s]
 99%|#########8| 771/781 [00:39<00:00, 20.11it/s]
 99%|#########9| 774/781 [00:39<00:00, 20.30it/s]
 99%|#########9| 777/781 [00:39<00:00, 20.22it/s]
100%|#########9| 780/781 [00:39<00:00, 20.37it/s]
100%|##########| 781/781 [00:40<00:00, 19.52it/s]




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 89%|########9 | 140/157 [00:08<00:01, 16.96it/s]
 90%|######### | 142/157 [00:08<00:00, 16.99it/s]
 92%|#########1| 144/157 [00:08<00:00, 17.04it/s]
 93%|#########2| 146/157 [00:08<00:00, 17.04it/s]
 94%|#########4| 148/157 [00:08<00:00, 17.07it/s]
 96%|#########5| 150/157 [00:08<00:00, 17.08it/s]
 97%|#########6| 152/157 [00:09<00:00, 17.07it/s]
 98%|#########8| 154/157 [00:09<00:00, 17.08it/s]
 99%|#########9| 156/157 [00:09<00:00, 17.08it/s]
100%|##########| 157/157 [00:09<00:00, 16.95it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:41, 18.82it/s]
  1%|          | 4/781 [00:00<00:41, 18.86it/s]
  1%|          | 6/781 [00:00<00:41, 18.85it/s]
  1%|1         | 8/781 [00:00<00:41, 18.84it/s]
  1%|1         | 10/781 [00:00<00:40, 18.85it/s]
  2%|1         | 12/781 [00:00<00:40, 18.82it/s]
  2%|1         | 14/781 [00:00<00:41, 18.65it/s]
  2%|2         | 16/781 [00:00<00:40, 18.81it/s]
  2%|2         | 18/781 [00:00<00:40, 18.79it/s]
  3%|2         | 20/781 [00:01<00:40, 18.65it/s]
  3%|2         | 22/781 [00:01<00:40, 18.84it/s]
  3%|3         | 24/781 [00:01<00:40, 18.81it/s]
  3%|3         | 26/781 [00:01<00:40, 18.84it/s]
  4%|3         | 28/781 [00:01<00:39, 18.88it/s]
  4%|3         | 30/781 [00:01<00:39, 18.90it/s]
  4%|4         | 32/781 [00:01<00:39, 18.93it/s]
  4%|4         | 34/781 [00:01<00:39, 18.82it/s]
  5%|4         | 36/781 [00:01<00:39, 18.78it/s]
  5%|4         | 38/781 [00:02<00:39, 18.65it/s]
  5%|5         | 40/781 [00:02<00:39, 18.83it/s]
  5%|5         | 42/781 [00:02<00:39, 18.88it/s]
  6%|5         | 44/781 [00:02<00:39, 18.83it/s]
  6%|5         | 46/781 [00:02<00:39, 18.70it/s]
  6%|6         | 48/781 [00:02<00:38, 18.87it/s]
  6%|6         | 50/781 [00:02<00:39, 18.71it/s]
  7%|6         | 52/781 [00:02<00:38, 18.90it/s]
  7%|6         | 54/781 [00:02<00:38, 18.77it/s]
  7%|7         | 56/781 [00:02<00:39, 18.49it/s]
  7%|7         | 58/781 [00:03<00:38, 18.58it/s]
  8%|7         | 60/781 [00:03<00:39, 18.48it/s]
  8%|7         | 62/781 [00:03<00:38, 18.50it/s]
  8%|8         | 64/781 [00:03<00:38, 18.60it/s]
  8%|8         | 66/781 [00:03<00:38, 18.51it/s]
  9%|8         | 68/781 [00:03<00:37, 18.77it/s]
  9%|8         | 70/781 [00:03<00:38, 18.57it/s]
  9%|9         | 72/781 [00:03<00:38, 18.54it/s]
  9%|9         | 74/781 [00:03<00:38, 18.38it/s]
 10%|9         | 76/781 [00:04<00:38, 18.38it/s]
 10%|9         | 78/781 [00:04<00:37, 18.63it/s]
 10%|#         | 80/781 [00:04<00:37, 18.72it/s]
 10%|#         | 82/781 [00:04<00:37, 18.76it/s]
 11%|#         | 84/781 [00:04<00:37, 18.75it/s]
 11%|#1        | 86/781 [00:04<00:37, 18.63it/s]
 11%|#1        | 88/781 [00:04<00:36, 18.83it/s]
 12%|#1        | 90/781 [00:04<00:36, 18.83it/s]
 12%|#1        | 92/781 [00:04<00:36, 18.71it/s]
 12%|#2        | 94/781 [00:05<00:37, 18.34it/s]
 12%|#2        | 96/781 [00:05<00:37, 18.33it/s]
 13%|#2        | 98/781 [00:05<00:37, 18.31it/s]
 13%|#2        | 100/781 [00:05<00:36, 18.41it/s]
 13%|#3        | 102/781 [00:05<00:36, 18.38it/s]
 13%|#3        | 104/781 [00:05<00:37, 18.20it/s]
 14%|#3        | 106/781 [00:05<00:36, 18.32it/s]
 14%|#3        | 108/781 [00:05<00:36, 18.40it/s]
 14%|#4        | 110/781 [00:05<00:36, 18.44it/s]
 14%|#4        | 112/781 [00:06<00:36, 18.37it/s]
 15%|#4        | 114/781 [00:06<00:36, 18.35it/s]
 15%|#4        | 116/781 [00:06<00:36, 18.34it/s]
 15%|#5        | 118/781 [00:06<00:36, 18.37it/s]
 15%|#5        | 120/781 [00:06<00:36, 18.22it/s]
 16%|#5        | 122/781 [00:06<00:35, 18.35it/s]
 16%|#5        | 124/781 [00:06<00:35, 18.35it/s]
 16%|#6        | 126/781 [00:06<00:35, 18.41it/s]
 16%|#6        | 128/781 [00:06<00:35, 18.24it/s]
 17%|#6        | 130/781 [00:06<00:35, 18.35it/s]
 17%|#6        | 132/781 [00:07<00:35, 18.17it/s]
 17%|#7        | 134/781 [00:07<00:35, 18.36it/s]
 17%|#7        | 136/781 [00:07<00:35, 18.13it/s]
 18%|#7        | 138/781 [00:07<00:35, 18.17it/s]
 18%|#7        | 140/781 [00:07<00:35, 18.17it/s]
 18%|#8        | 142/781 [00:07<00:34, 18.47it/s]
 18%|#8        | 144/781 [00:07<00:34, 18.33it/s]
 19%|#8        | 146/781 [00:07<00:34, 18.53it/s]
 19%|#8        | 148/781 [00:07<00:34, 18.62it/s]
 19%|#9        | 150/781 [00:08<00:33, 18.70it/s]
 19%|#9        | 152/781 [00:08<00:33, 18.56it/s]
 20%|#9        | 154/781 [00:08<00:33, 18.62it/s]
 20%|#9        | 156/781 [00:08<00:33, 18.61it/s]
 20%|##        | 158/781 [00:08<00:33, 18.67it/s]
 20%|##        | 160/781 [00:08<00:33, 18.59it/s]
 21%|##        | 162/781 [00:08<00:32, 18.82it/s]
 21%|##        | 164/781 [00:08<00:32, 18.83it/s]
 21%|##1       | 166/781 [00:08<00:32, 18.65it/s]
 22%|##1       | 168/781 [00:09<00:32, 18.72it/s]
 22%|##1       | 170/781 [00:09<00:32, 18.90it/s]
 22%|##2       | 172/781 [00:09<00:32, 18.89it/s]
 22%|##2       | 174/781 [00:09<00:32, 18.61it/s]
 23%|##2       | 176/781 [00:09<00:32, 18.60it/s]
 23%|##2       | 178/781 [00:09<00:32, 18.55it/s]
 23%|##3       | 180/781 [00:09<00:32, 18.35it/s]
 23%|##3       | 182/781 [00:09<00:32, 18.35it/s]
 24%|##3       | 184/781 [00:09<00:32, 18.18it/s]
 24%|##3       | 186/781 [00:10<00:32, 18.37it/s]
 24%|##4       | 188/781 [00:10<00:32, 18.28it/s]
 24%|##4       | 190/781 [00:10<00:32, 18.29it/s]
 25%|##4       | 192/781 [00:10<00:32, 18.25it/s]
 25%|##4       | 194/781 [00:10<00:32, 18.12it/s]
 25%|##5       | 196/781 [00:10<00:31, 18.30it/s]
 25%|##5       | 198/781 [00:10<00:31, 18.29it/s]
 26%|##5       | 200/781 [00:10<00:31, 18.30it/s]
 26%|##5       | 202/781 [00:10<00:31, 18.24it/s]
 26%|##6       | 204/781 [00:11<00:31, 18.25it/s]
 26%|##6       | 206/781 [00:11<00:31, 18.21it/s]
 27%|##6       | 208/781 [00:11<00:31, 18.23it/s]
 27%|##6       | 210/781 [00:11<00:31, 18.17it/s]
 27%|##7       | 212/781 [00:11<00:31, 18.19it/s]
 27%|##7       | 214/781 [00:11<00:31, 18.22it/s]
 28%|##7       | 216/781 [00:11<00:30, 18.28it/s]
 28%|##7       | 218/781 [00:11<00:30, 18.25it/s]
 28%|##8       | 220/781 [00:11<00:30, 18.28it/s]
 28%|##8       | 222/781 [00:11<00:30, 18.29it/s]
 29%|##8       | 224/781 [00:12<00:30, 18.15it/s]
 29%|##8       | 226/781 [00:12<00:30, 18.32it/s]
 29%|##9       | 228/781 [00:12<00:30, 18.30it/s]
 29%|##9       | 230/781 [00:12<00:30, 18.32it/s]
 30%|##9       | 232/781 [00:12<00:30, 18.28it/s]
 30%|##9       | 234/781 [00:12<00:30, 18.16it/s]
 30%|###       | 236/781 [00:12<00:29, 18.33it/s]
 30%|###       | 238/781 [00:12<00:29, 18.35it/s]
 31%|###       | 240/781 [00:12<00:29, 18.15it/s]
 31%|###       | 242/781 [00:13<00:29, 18.34it/s]
 31%|###1      | 244/781 [00:13<00:29, 18.35it/s]
 31%|###1      | 246/781 [00:13<00:29, 18.38it/s]
 32%|###1      | 248/781 [00:13<00:29, 18.34it/s]
 32%|###2      | 250/781 [00:13<00:29, 18.29it/s]
 32%|###2      | 252/781 [00:13<00:28, 18.29it/s]
 33%|###2      | 254/781 [00:13<00:29, 18.14it/s]
 33%|###2      | 256/781 [00:13<00:28, 18.12it/s]
 33%|###3      | 258/781 [00:13<00:28, 18.28it/s]
 33%|###3      | 260/781 [00:14<00:28, 18.27it/s]
 34%|###3      | 262/781 [00:14<00:28, 18.19it/s]
 34%|###3      | 264/781 [00:14<00:28, 18.24it/s]
 34%|###4      | 266/781 [00:14<00:28, 18.25it/s]
 34%|###4      | 268/781 [00:14<00:28, 18.28it/s]
 35%|###4      | 270/781 [00:14<00:28, 18.24it/s]
 35%|###4      | 272/781 [00:14<00:28, 18.14it/s]
 35%|###5      | 274/781 [00:14<00:27, 18.31it/s]
 35%|###5      | 276/781 [00:14<00:27, 18.37it/s]
 36%|###5      | 278/781 [00:15<00:27, 18.33it/s]
 36%|###5      | 280/781 [00:15<00:27, 18.18it/s]
 36%|###6      | 282/781 [00:15<00:27, 18.19it/s]
 36%|###6      | 284/781 [00:15<00:27, 18.39it/s]
 37%|###6      | 286/781 [00:15<00:27, 18.20it/s]
 37%|###6      | 288/781 [00:15<00:26, 18.40it/s]
 37%|###7      | 290/781 [00:15<00:26, 18.52it/s]
 37%|###7      | 292/781 [00:15<00:26, 18.69it/s]
 38%|###7      | 294/781 [00:15<00:25, 18.74it/s]
 38%|###7      | 296/781 [00:16<00:25, 18.71it/s]
 38%|###8      | 298/781 [00:16<00:25, 18.75it/s]
 38%|###8      | 300/781 [00:16<00:25, 18.75it/s]
 39%|###8      | 302/781 [00:16<00:25, 18.79it/s]
 39%|###8      | 304/781 [00:16<00:25, 18.79it/s]
 39%|###9      | 306/781 [00:16<00:25, 18.80it/s]
 39%|###9      | 308/781 [00:16<00:25, 18.83it/s]
 40%|###9      | 310/781 [00:16<00:25, 18.82it/s]
 40%|###9      | 312/781 [00:16<00:24, 18.84it/s]
 40%|####      | 314/781 [00:16<00:24, 18.84it/s]
 40%|####      | 316/781 [00:17<00:24, 18.81it/s]
 41%|####      | 318/781 [00:17<00:24, 18.73it/s]
 41%|####      | 320/781 [00:17<00:24, 18.75it/s]
 41%|####1     | 322/781 [00:17<00:24, 18.68it/s]
 41%|####1     | 324/781 [00:17<00:24, 18.76it/s]
 42%|####1     | 326/781 [00:17<00:24, 18.79it/s]
 42%|####1     | 328/781 [00:17<00:24, 18.74it/s]
 42%|####2     | 330/781 [00:17<00:24, 18.64it/s]
 43%|####2     | 332/781 [00:17<00:24, 18.56it/s]
 43%|####2     | 334/781 [00:18<00:24, 18.35it/s]
 43%|####3     | 336/781 [00:18<00:24, 18.19it/s]
 43%|####3     | 338/781 [00:18<00:24, 18.25it/s]
 44%|####3     | 340/781 [00:18<00:24, 18.10it/s]
 44%|####3     | 342/781 [00:18<00:24, 18.01it/s]
 44%|####4     | 344/781 [00:18<00:24, 18.08it/s]
 44%|####4     | 346/781 [00:18<00:23, 18.14it/s]
 45%|####4     | 348/781 [00:18<00:23, 18.32it/s]
 45%|####4     | 350/781 [00:18<00:23, 18.16it/s]
 45%|####5     | 352/781 [00:19<00:23, 18.32it/s]
 45%|####5     | 354/781 [00:19<00:23, 18.24it/s]
 46%|####5     | 356/781 [00:19<00:23, 18.37it/s]
 46%|####5     | 358/781 [00:19<00:23, 18.38it/s]
 46%|####6     | 360/781 [00:19<00:22, 18.38it/s]
 46%|####6     | 362/781 [00:19<00:22, 18.27it/s]
 47%|####6     | 364/781 [00:19<00:22, 18.27it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.26it/s]
 47%|####7     | 368/781 [00:19<00:22, 18.40it/s]
 47%|####7     | 370/781 [00:20<00:22, 18.40it/s]
 48%|####7     | 372/781 [00:20<00:22, 18.35it/s]
 48%|####7     | 374/781 [00:20<00:22, 18.17it/s]
 48%|####8     | 376/781 [00:20<00:22, 18.18it/s]
 48%|####8     | 378/781 [00:20<00:22, 18.18it/s]
 49%|####8     | 380/781 [00:20<00:21, 18.36it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.35it/s]
 49%|####9     | 384/781 [00:20<00:21, 18.33it/s]
 49%|####9     | 386/781 [00:20<00:21, 18.18it/s]
 50%|####9     | 388/781 [00:21<00:21, 18.34it/s]
 50%|####9     | 390/781 [00:21<00:21, 18.18it/s]
 50%|#####     | 392/781 [00:21<00:21, 18.36it/s]
 50%|#####     | 394/781 [00:21<00:21, 18.12it/s]
 51%|#####     | 396/781 [00:21<00:21, 18.33it/s]
 51%|#####     | 398/781 [00:21<00:20, 18.51it/s]
 51%|#####1    | 400/781 [00:21<00:20, 18.62it/s]
 51%|#####1    | 402/781 [00:21<00:20, 18.85it/s]
 52%|#####1    | 404/781 [00:21<00:20, 18.71it/s]
 52%|#####1    | 406/781 [00:21<00:20, 18.72it/s]
 52%|#####2    | 408/781 [00:22<00:19, 18.80it/s]
 52%|#####2    | 410/781 [00:22<00:19, 18.83it/s]
 53%|#####2    | 412/781 [00:22<00:19, 18.84it/s]
 53%|#####3    | 414/781 [00:22<00:19, 18.63it/s]
 53%|#####3    | 416/781 [00:22<00:19, 18.53it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.63it/s]
 54%|#####3    | 420/781 [00:22<00:19, 18.52it/s]
 54%|#####4    | 422/781 [00:22<00:19, 18.47it/s]
 54%|#####4    | 424/781 [00:22<00:19, 18.28it/s]
 55%|#####4    | 426/781 [00:23<00:19, 18.36it/s]
 55%|#####4    | 428/781 [00:23<00:19, 18.36it/s]
 55%|#####5    | 430/781 [00:23<00:19, 18.22it/s]
 55%|#####5    | 432/781 [00:23<00:19, 18.20it/s]
 56%|#####5    | 434/781 [00:23<00:19, 18.20it/s]
 56%|#####5    | 436/781 [00:23<00:18, 18.25it/s]
 56%|#####6    | 438/781 [00:23<00:18, 18.27it/s]
 56%|#####6    | 440/781 [00:23<00:18, 18.29it/s]
 57%|#####6    | 442/781 [00:23<00:18, 18.21it/s]
 57%|#####6    | 444/781 [00:24<00:18, 18.19it/s]
 57%|#####7    | 446/781 [00:24<00:18, 18.39it/s]
 57%|#####7    | 448/781 [00:24<00:18, 18.22it/s]
 58%|#####7    | 450/781 [00:24<00:18, 18.24it/s]
 58%|#####7    | 452/781 [00:24<00:18, 18.26it/s]
 58%|#####8    | 454/781 [00:24<00:17, 18.24it/s]
 58%|#####8    | 456/781 [00:24<00:17, 18.27it/s]
 59%|#####8    | 458/781 [00:24<00:17, 18.26it/s]
 59%|#####8    | 460/781 [00:24<00:17, 18.29it/s]
 59%|#####9    | 462/781 [00:25<00:17, 18.34it/s]
 59%|#####9    | 464/781 [00:25<00:17, 18.28it/s]
 60%|#####9    | 466/781 [00:25<00:17, 18.15it/s]
 60%|#####9    | 468/781 [00:25<00:17, 18.19it/s]
 60%|######    | 470/781 [00:25<00:17, 18.28it/s]
 60%|######    | 472/781 [00:25<00:17, 18.14it/s]
 61%|######    | 474/781 [00:25<00:16, 18.13it/s]
 61%|######    | 476/781 [00:25<00:16, 18.25it/s]
 61%|######1   | 478/781 [00:25<00:16, 18.25it/s]
 61%|######1   | 480/781 [00:26<00:16, 18.25it/s]
 62%|######1   | 482/781 [00:26<00:16, 18.39it/s]
 62%|######1   | 484/781 [00:26<00:16, 18.35it/s]
 62%|######2   | 486/781 [00:26<00:16, 18.23it/s]
 62%|######2   | 488/781 [00:26<00:16, 18.04it/s]
 63%|######2   | 490/781 [00:26<00:16, 18.05it/s]
 63%|######2   | 492/781 [00:26<00:15, 18.06it/s]
 63%|######3   | 494/781 [00:26<00:15, 18.04it/s]
 64%|######3   | 496/781 [00:26<00:15, 18.09it/s]
 64%|######3   | 498/781 [00:27<00:15, 18.27it/s]
 64%|######4   | 500/781 [00:27<00:15, 18.10it/s]
 64%|######4   | 502/781 [00:27<00:15, 18.43it/s]
 65%|######4   | 504/781 [00:27<00:14, 18.53it/s]
 65%|######4   | 506/781 [00:27<00:14, 18.36it/s]
 65%|######5   | 508/781 [00:27<00:14, 18.59it/s]
 65%|######5   | 510/781 [00:27<00:14, 18.47it/s]
 66%|######5   | 512/781 [00:27<00:14, 18.36it/s]
 66%|######5   | 514/781 [00:27<00:14, 18.62it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.64it/s]
 66%|######6   | 518/781 [00:28<00:14, 18.49it/s]
 67%|######6   | 520/781 [00:28<00:13, 18.68it/s]
 67%|######6   | 522/781 [00:28<00:13, 18.59it/s]
 67%|######7   | 524/781 [00:28<00:13, 18.40it/s]
 67%|######7   | 526/781 [00:28<00:13, 18.32it/s]
 68%|######7   | 528/781 [00:28<00:13, 18.29it/s]
 68%|######7   | 530/781 [00:28<00:13, 18.29it/s]
 68%|######8   | 532/781 [00:28<00:13, 18.31it/s]
 68%|######8   | 534/781 [00:28<00:13, 18.32it/s]
 69%|######8   | 536/781 [00:29<00:13, 18.33it/s]
 69%|######8   | 538/781 [00:29<00:13, 18.39it/s]
 69%|######9   | 540/781 [00:29<00:13, 18.37it/s]
 69%|######9   | 542/781 [00:29<00:12, 18.39it/s]
 70%|######9   | 544/781 [00:29<00:12, 18.38it/s]
 70%|######9   | 546/781 [00:29<00:12, 18.33it/s]
 70%|#######   | 548/781 [00:29<00:12, 18.34it/s]
 70%|#######   | 550/781 [00:29<00:12, 18.35it/s]
 71%|#######   | 552/781 [00:29<00:12, 18.39it/s]
 71%|#######   | 554/781 [00:30<00:12, 18.41it/s]
 71%|#######1  | 556/781 [00:30<00:12, 18.41it/s]
 71%|#######1  | 558/781 [00:30<00:12, 18.40it/s]
 72%|#######1  | 560/781 [00:30<00:11, 18.48it/s]
 72%|#######1  | 562/781 [00:30<00:11, 18.47it/s]
 72%|#######2  | 564/781 [00:30<00:11, 18.47it/s]
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100%|#########9| 780/781 [00:42<00:00, 18.43it/s]
100%|##########| 781/781 [00:42<00:00, 18.40it/s]




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Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.21s/it]
Validation Progress:  86%|########6 | 38/44 [00:42<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:42<00:07,  1.21s/it]
Validation Progress:  86%|########6 | 38/44 [00:42<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:42<00:07,  1.20s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:05<00:00,  5.33s/it]
100%|##########| 1/1 [00:05<00:00,  5.33s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:10, 14.77it/s]
  3%|2         | 4/157 [00:00<00:10, 15.22it/s]
  4%|3         | 6/157 [00:00<00:13, 11.20it/s]
  5%|5         | 8/157 [00:00<00:11, 12.74it/s]
  6%|6         | 10/157 [00:00<00:10, 13.67it/s]
  8%|7         | 12/157 [00:00<00:10, 14.45it/s]
  9%|8         | 14/157 [00:00<00:09, 14.87it/s]
 10%|#         | 16/157 [00:01<00:09, 15.21it/s]
 11%|#1        | 18/157 [00:01<00:08, 15.46it/s]
 13%|#2        | 20/157 [00:01<00:08, 15.57it/s]
 14%|#4        | 22/157 [00:01<00:08, 15.69it/s]
 15%|#5        | 24/157 [00:01<00:08, 15.78it/s]
 17%|#6        | 26/157 [00:01<00:08, 15.81it/s]
 18%|#7        | 28/157 [00:01<00:08, 15.87it/s]
 19%|#9        | 30/157 [00:02<00:07, 15.97it/s]
 20%|##        | 32/157 [00:02<00:07, 15.92it/s]
 22%|##1       | 34/157 [00:02<00:07, 15.91it/s]
 23%|##2       | 36/157 [00:02<00:07, 15.92it/s]
 24%|##4       | 38/157 [00:02<00:07, 15.89it/s]
 25%|##5       | 40/157 [00:02<00:07, 15.90it/s]
 27%|##6       | 42/157 [00:02<00:07, 15.91it/s]
 28%|##8       | 44/157 [00:02<00:07, 15.94it/s]
 29%|##9       | 46/157 [00:03<00:06, 15.95it/s]
 31%|###       | 48/157 [00:03<00:06, 15.92it/s]
 32%|###1      | 50/157 [00:03<00:06, 15.88it/s]
 33%|###3      | 52/157 [00:03<00:06, 15.88it/s]
 34%|###4      | 54/157 [00:03<00:06, 15.90it/s]
 36%|###5      | 56/157 [00:03<00:06, 15.96it/s]
 37%|###6      | 58/157 [00:03<00:06, 15.93it/s]
 38%|###8      | 60/157 [00:03<00:06, 15.94it/s]
 39%|###9      | 62/157 [00:04<00:05, 15.94it/s]
 41%|####      | 64/157 [00:04<00:05, 15.93it/s]
 42%|####2     | 66/157 [00:04<00:05, 15.92it/s]
 43%|####3     | 68/157 [00:04<00:05, 15.98it/s]
 45%|####4     | 70/157 [00:04<00:05, 16.01it/s]
 46%|####5     | 72/157 [00:04<00:05, 16.03it/s]
 47%|####7     | 74/157 [00:04<00:05, 16.11it/s]
 48%|####8     | 76/157 [00:04<00:05, 16.16it/s]
 50%|####9     | 78/157 [00:05<00:04, 16.17it/s]
 51%|#####     | 80/157 [00:05<00:04, 16.22it/s]
 52%|#####2    | 82/157 [00:05<00:04, 16.23it/s]
 54%|#####3    | 84/157 [00:05<00:04, 16.17it/s]
 55%|#####4    | 86/157 [00:05<00:04, 16.15it/s]
 56%|#####6    | 88/157 [00:05<00:04, 16.13it/s]
 57%|#####7    | 90/157 [00:05<00:04, 16.15it/s]
 59%|#####8    | 92/157 [00:05<00:04, 16.16it/s]
 60%|#####9    | 94/157 [00:05<00:03, 16.17it/s]
 61%|######1   | 96/157 [00:06<00:03, 16.10it/s]
 62%|######2   | 98/157 [00:06<00:03, 15.99it/s]
 64%|######3   | 100/157 [00:06<00:03, 15.96it/s]
 65%|######4   | 102/157 [00:06<00:03, 15.96it/s]
 66%|######6   | 104/157 [00:06<00:03, 15.93it/s]
 68%|######7   | 106/157 [00:06<00:03, 15.92it/s]
 69%|######8   | 108/157 [00:06<00:03, 15.93it/s]
 70%|#######   | 110/157 [00:07<00:02, 15.84it/s]
 71%|#######1  | 112/157 [00:07<00:02, 15.86it/s]
 73%|#######2  | 114/157 [00:07<00:02, 15.87it/s]
 74%|#######3  | 116/157 [00:07<00:02, 15.93it/s]
 75%|#######5  | 118/157 [00:07<00:02, 15.95it/s]
 76%|#######6  | 120/157 [00:07<00:02, 15.96it/s]
 78%|#######7  | 122/157 [00:07<00:02, 15.98it/s]
 79%|#######8  | 124/157 [00:07<00:02, 15.96it/s]
 80%|########  | 126/157 [00:08<00:01, 16.01it/s]
 82%|########1 | 128/157 [00:08<00:01, 16.13it/s]
 83%|########2 | 130/157 [00:08<00:01, 16.11it/s]
 84%|########4 | 132/157 [00:08<00:01, 16.06it/s]
 85%|########5 | 134/157 [00:08<00:01, 16.01it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.04it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.00it/s]
 89%|########9 | 140/157 [00:08<00:01, 15.97it/s]
 90%|######### | 142/157 [00:09<00:00, 15.97it/s]
 92%|#########1| 144/157 [00:09<00:00, 15.98it/s]
 93%|#########2| 146/157 [00:09<00:00, 15.95it/s]
 94%|#########4| 148/157 [00:09<00:00, 15.99it/s]
 96%|#########5| 150/157 [00:09<00:00, 16.07it/s]
 97%|#########6| 152/157 [00:09<00:00, 15.81it/s]
 98%|#########8| 154/157 [00:09<00:00, 15.68it/s]
 99%|#########9| 156/157 [00:09<00:00, 15.85it/s]
100%|##########| 157/157 [00:09<00:00, 15.84it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:51, 15.10it/s]
  1%|          | 4/781 [00:00<00:47, 16.46it/s]
  1%|          | 6/781 [00:00<00:46, 16.76it/s]
  1%|1         | 8/781 [00:00<00:45, 17.04it/s]
  1%|1         | 10/781 [00:00<00:44, 17.23it/s]
  2%|1         | 12/781 [00:00<00:44, 17.42it/s]
  2%|1         | 14/781 [00:00<00:43, 17.56it/s]
  2%|2         | 16/781 [00:00<00:43, 17.69it/s]
  2%|2         | 18/781 [00:01<00:42, 17.78it/s]
  3%|2         | 20/781 [00:01<00:42, 17.82it/s]
  3%|2         | 22/781 [00:01<00:42, 17.85it/s]
  3%|3         | 24/781 [00:01<00:42, 17.88it/s]
  3%|3         | 26/781 [00:01<00:42, 17.70it/s]
  4%|3         | 28/781 [00:01<00:42, 17.77it/s]
  4%|3         | 30/781 [00:01<00:42, 17.83it/s]
  4%|4         | 32/781 [00:01<00:41, 17.85it/s]
  4%|4         | 34/781 [00:01<00:41, 17.88it/s]
  5%|4         | 36/781 [00:02<00:41, 17.79it/s]
  5%|4         | 38/781 [00:02<00:42, 17.68it/s]
  5%|5         | 40/781 [00:02<00:42, 17.62it/s]
  5%|5         | 42/781 [00:02<00:42, 17.55it/s]
  6%|5         | 44/781 [00:02<00:42, 17.52it/s]
  6%|5         | 46/781 [00:02<00:41, 17.54it/s]
  6%|6         | 48/781 [00:02<00:41, 17.65it/s]
  6%|6         | 50/781 [00:02<00:41, 17.73it/s]
  7%|6         | 52/781 [00:02<00:41, 17.77it/s]
  7%|6         | 54/781 [00:03<00:40, 17.83it/s]
  7%|7         | 56/781 [00:03<00:40, 17.83it/s]
  7%|7         | 58/781 [00:03<00:40, 17.85it/s]
  8%|7         | 60/781 [00:03<00:40, 17.87it/s]
  8%|7         | 62/781 [00:03<00:40, 17.87it/s]
  8%|8         | 64/781 [00:03<00:40, 17.87it/s]
  8%|8         | 66/781 [00:03<00:40, 17.87it/s]
  9%|8         | 68/781 [00:03<00:39, 17.89it/s]
  9%|8         | 70/781 [00:03<00:39, 17.90it/s]
  9%|9         | 72/781 [00:04<00:39, 17.93it/s]
  9%|9         | 74/781 [00:04<00:39, 17.93it/s]
 10%|9         | 76/781 [00:04<00:39, 17.90it/s]
 10%|9         | 78/781 [00:04<00:39, 17.90it/s]
 10%|#         | 80/781 [00:04<00:39, 17.90it/s]
 10%|#         | 82/781 [00:04<00:39, 17.90it/s]
 11%|#         | 84/781 [00:04<00:38, 17.89it/s]
 11%|#1        | 86/781 [00:04<00:38, 17.88it/s]
 11%|#1        | 88/781 [00:04<00:38, 17.89it/s]
 12%|#1        | 90/781 [00:05<00:38, 17.90it/s]
 12%|#1        | 92/781 [00:05<00:38, 17.91it/s]
 12%|#2        | 94/781 [00:05<00:38, 17.92it/s]
 12%|#2        | 96/781 [00:05<00:38, 17.90it/s]
 13%|#2        | 98/781 [00:05<00:38, 17.93it/s]
 13%|#2        | 100/781 [00:05<00:38, 17.91it/s]
 13%|#3        | 102/781 [00:05<00:37, 17.91it/s]
 13%|#3        | 104/781 [00:05<00:37, 17.91it/s]
 14%|#3        | 106/781 [00:05<00:37, 17.88it/s]
 14%|#3        | 108/781 [00:06<00:37, 17.78it/s]
 14%|#4        | 110/781 [00:06<00:37, 17.68it/s]
 14%|#4        | 112/781 [00:06<00:37, 17.74it/s]
 15%|#4        | 114/781 [00:06<00:37, 17.71it/s]
 15%|#4        | 116/781 [00:06<00:37, 17.71it/s]
 15%|#5        | 118/781 [00:06<00:37, 17.79it/s]
 15%|#5        | 120/781 [00:06<00:37, 17.85it/s]
 16%|#5        | 122/781 [00:06<00:36, 17.86it/s]
 16%|#5        | 124/781 [00:06<00:36, 17.88it/s]
 16%|#6        | 126/781 [00:07<00:36, 17.81it/s]
 16%|#6        | 128/781 [00:07<00:35, 18.19it/s]
 17%|#6        | 130/781 [00:07<00:35, 18.41it/s]
 17%|#7        | 133/781 [00:07<00:33, 19.40it/s]
 17%|#7        | 135/781 [00:07<00:33, 19.44it/s]
 18%|#7        | 137/781 [00:07<00:33, 19.15it/s]
 18%|#7        | 139/781 [00:07<00:34, 18.76it/s]
 18%|#8        | 141/781 [00:07<00:34, 18.45it/s]
 18%|#8        | 143/781 [00:07<00:34, 18.64it/s]
 19%|#8        | 145/781 [00:08<00:34, 18.35it/s]
 19%|#8        | 147/781 [00:08<00:34, 18.47it/s]
 19%|#9        | 149/781 [00:08<00:34, 18.58it/s]
 19%|#9        | 151/781 [00:08<00:33, 18.71it/s]
 20%|#9        | 154/781 [00:08<00:32, 19.47it/s]
 20%|##        | 157/781 [00:08<00:31, 19.92it/s]
 20%|##        | 159/781 [00:08<00:31, 19.44it/s]
 21%|##        | 162/781 [00:08<00:31, 19.92it/s]
 21%|##1       | 165/781 [00:09<00:31, 19.71it/s]
 21%|##1       | 167/781 [00:09<00:31, 19.51it/s]
 22%|##1       | 170/781 [00:09<00:30, 20.10it/s]
 22%|##2       | 173/781 [00:09<00:29, 20.40it/s]
 23%|##2       | 176/781 [00:09<00:30, 19.75it/s]
 23%|##2       | 179/781 [00:09<00:30, 19.78it/s]
 23%|##3       | 181/781 [00:09<00:31, 19.25it/s]
 23%|##3       | 183/781 [00:10<00:31, 18.85it/s]
 24%|##3       | 186/781 [00:10<00:30, 19.30it/s]
 24%|##4       | 189/781 [00:10<00:30, 19.57it/s]
 25%|##4       | 192/781 [00:10<00:29, 19.81it/s]
 25%|##4       | 195/781 [00:10<00:29, 19.89it/s]
 25%|##5       | 197/781 [00:10<00:29, 19.85it/s]
 26%|##5       | 200/781 [00:10<00:28, 20.04it/s]
 26%|##5       | 203/781 [00:11<00:28, 20.19it/s]
 26%|##6       | 206/781 [00:11<00:28, 20.31it/s]
 27%|##6       | 209/781 [00:11<00:28, 20.43it/s]
 27%|##7       | 212/781 [00:11<00:27, 20.57it/s]
 28%|##7       | 215/781 [00:11<00:27, 20.62it/s]
 28%|##7       | 218/781 [00:11<00:27, 20.67it/s]
 28%|##8       | 221/781 [00:11<00:26, 20.81it/s]
 29%|##8       | 224/781 [00:12<00:26, 20.97it/s]
 29%|##9       | 227/781 [00:12<00:26, 21.10it/s]
 29%|##9       | 230/781 [00:12<00:25, 21.24it/s]
 30%|##9       | 233/781 [00:12<00:25, 21.30it/s]
 30%|###       | 236/781 [00:12<00:25, 21.33it/s]
 31%|###       | 239/781 [00:12<00:25, 21.40it/s]
 31%|###       | 242/781 [00:12<00:25, 21.43it/s]
 31%|###1      | 245/781 [00:13<00:25, 21.40it/s]
 32%|###1      | 248/781 [00:13<00:24, 21.43it/s]
 32%|###2      | 251/781 [00:13<00:24, 21.44it/s]
 33%|###2      | 254/781 [00:13<00:24, 21.48it/s]
 33%|###2      | 257/781 [00:13<00:24, 21.54it/s]
 33%|###3      | 260/781 [00:13<00:24, 21.55it/s]
 34%|###3      | 263/781 [00:13<00:24, 21.56it/s]
 34%|###4      | 266/781 [00:13<00:23, 21.55it/s]
 34%|###4      | 269/781 [00:14<00:23, 21.55it/s]
 35%|###4      | 272/781 [00:14<00:23, 21.56it/s]
 35%|###5      | 275/781 [00:14<00:23, 21.55it/s]
 36%|###5      | 278/781 [00:14<00:23, 21.57it/s]
 36%|###5      | 281/781 [00:14<00:23, 21.57it/s]
 36%|###6      | 284/781 [00:14<00:23, 21.60it/s]
 37%|###6      | 287/781 [00:14<00:22, 21.62it/s]
 37%|###7      | 290/781 [00:15<00:22, 21.47it/s]
 38%|###7      | 293/781 [00:15<00:22, 21.31it/s]
 38%|###7      | 296/781 [00:15<00:22, 21.17it/s]
 38%|###8      | 299/781 [00:15<00:22, 21.17it/s]
 39%|###8      | 302/781 [00:15<00:22, 21.11it/s]
 39%|###9      | 305/781 [00:15<00:22, 21.06it/s]
 39%|###9      | 308/781 [00:15<00:22, 21.19it/s]
 40%|###9      | 311/781 [00:16<00:22, 21.27it/s]
 40%|####      | 314/781 [00:16<00:21, 21.28it/s]
 41%|####      | 317/781 [00:16<00:21, 21.33it/s]
 41%|####      | 320/781 [00:16<00:21, 21.35it/s]
 41%|####1     | 323/781 [00:16<00:21, 21.38it/s]
 42%|####1     | 326/781 [00:16<00:21, 21.43it/s]
 42%|####2     | 329/781 [00:16<00:21, 21.33it/s]
 43%|####2     | 332/781 [00:17<00:21, 21.34it/s]
 43%|####2     | 335/781 [00:17<00:20, 21.40it/s]
 43%|####3     | 338/781 [00:17<00:20, 21.39it/s]
 44%|####3     | 341/781 [00:17<00:20, 21.40it/s]
 44%|####4     | 344/781 [00:17<00:20, 21.43it/s]
 44%|####4     | 347/781 [00:17<00:20, 21.46it/s]
 45%|####4     | 350/781 [00:17<00:20, 21.45it/s]
 45%|####5     | 353/781 [00:18<00:19, 21.49it/s]
 46%|####5     | 356/781 [00:18<00:19, 21.50it/s]
 46%|####5     | 359/781 [00:18<00:19, 21.51it/s]
 46%|####6     | 362/781 [00:18<00:19, 21.51it/s]
 47%|####6     | 365/781 [00:18<00:19, 21.48it/s]
 47%|####7     | 368/781 [00:18<00:19, 21.49it/s]
 48%|####7     | 371/781 [00:18<00:19, 21.48it/s]
 48%|####7     | 374/781 [00:19<00:18, 21.51it/s]
 48%|####8     | 377/781 [00:19<00:18, 21.49it/s]
 49%|####8     | 380/781 [00:19<00:18, 21.42it/s]
 49%|####9     | 383/781 [00:19<00:18, 21.23it/s]
 49%|####9     | 386/781 [00:19<00:18, 21.07it/s]
 50%|####9     | 389/781 [00:19<00:18, 21.13it/s]
 50%|#####     | 392/781 [00:19<00:18, 21.15it/s]
 51%|#####     | 395/781 [00:20<00:18, 21.25it/s]
 51%|#####     | 398/781 [00:20<00:18, 21.25it/s]
 51%|#####1    | 401/781 [00:20<00:18, 20.96it/s]
 52%|#####1    | 404/781 [00:20<00:17, 21.11it/s]
 52%|#####2    | 407/781 [00:20<00:17, 21.03it/s]
 52%|#####2    | 410/781 [00:20<00:17, 21.07it/s]
 53%|#####2    | 413/781 [00:20<00:17, 21.15it/s]
 53%|#####3    | 416/781 [00:21<00:17, 21.04it/s]
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 54%|#####4    | 422/781 [00:21<00:16, 21.20it/s]
 54%|#####4    | 425/781 [00:21<00:16, 21.30it/s]
 55%|#####4    | 428/781 [00:21<00:16, 21.42it/s]
 55%|#####5    | 431/781 [00:21<00:16, 21.49it/s]
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100%|##########| 781/781 [00:39<00:00, 20.00it/s]




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Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.09s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.09s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.09s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.16s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:06<00:00,  6.21s/it]
100%|##########| 1/1 [00:06<00:00,  6.21s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:11, 13.41it/s]
  3%|2         | 4/157 [00:00<00:10, 14.77it/s]
  4%|3         | 6/157 [00:00<00:09, 16.12it/s]
  5%|5         | 8/157 [00:00<00:09, 16.32it/s]
  6%|6         | 10/157 [00:00<00:08, 16.62it/s]
  8%|7         | 12/157 [00:00<00:08, 16.48it/s]
  9%|8         | 14/157 [00:00<00:08, 16.45it/s]
 10%|#         | 16/157 [00:00<00:08, 16.78it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.87it/s]
 13%|#2        | 20/157 [00:01<00:08, 16.82it/s]
 14%|#4        | 22/157 [00:01<00:08, 16.68it/s]
 15%|#5        | 24/157 [00:01<00:07, 17.18it/s]
 17%|#6        | 26/157 [00:01<00:07, 17.41it/s]
 18%|#7        | 28/157 [00:01<00:07, 17.09it/s]
 19%|#9        | 30/157 [00:01<00:07, 17.13it/s]
 20%|##        | 32/157 [00:01<00:07, 17.00it/s]
 22%|##1       | 34/157 [00:02<00:07, 17.42it/s]
 23%|##2       | 36/157 [00:02<00:07, 16.90it/s]
 24%|##4       | 38/157 [00:02<00:06, 17.05it/s]
 25%|##5       | 40/157 [00:02<00:06, 16.82it/s]
 27%|##6       | 42/157 [00:02<00:06, 16.89it/s]
 28%|##8       | 44/157 [00:02<00:06, 16.94it/s]
 29%|##9       | 46/157 [00:02<00:06, 16.87it/s]
 31%|###       | 48/157 [00:02<00:06, 16.73it/s]
 32%|###1      | 50/157 [00:02<00:06, 16.63it/s]
 33%|###3      | 52/157 [00:03<00:06, 16.56it/s]
 34%|###4      | 54/157 [00:03<00:06, 16.46it/s]
 36%|###5      | 56/157 [00:03<00:06, 16.39it/s]
 37%|###6      | 58/157 [00:03<00:06, 16.33it/s]
 38%|###8      | 60/157 [00:03<00:05, 16.37it/s]
 39%|###9      | 62/157 [00:03<00:05, 16.38it/s]
 41%|####      | 64/157 [00:03<00:05, 16.37it/s]
 42%|####2     | 66/157 [00:03<00:05, 16.38it/s]
 43%|####3     | 68/157 [00:04<00:05, 16.40it/s]
 45%|####4     | 70/157 [00:04<00:05, 16.41it/s]
 46%|####5     | 72/157 [00:04<00:05, 16.40it/s]
 47%|####7     | 74/157 [00:04<00:05, 16.39it/s]
 48%|####8     | 76/157 [00:04<00:04, 16.37it/s]
 50%|####9     | 78/157 [00:04<00:04, 16.37it/s]
 51%|#####     | 80/157 [00:04<00:04, 16.35it/s]
 52%|#####2    | 82/157 [00:04<00:04, 16.35it/s]
 54%|#####3    | 84/157 [00:05<00:04, 16.31it/s]
 55%|#####4    | 86/157 [00:05<00:04, 16.30it/s]
 56%|#####6    | 88/157 [00:05<00:04, 16.26it/s]
 57%|#####7    | 90/157 [00:05<00:04, 16.11it/s]
 59%|#####8    | 92/157 [00:05<00:04, 16.02it/s]
 60%|#####9    | 94/157 [00:05<00:03, 15.96it/s]
 61%|######1   | 96/157 [00:05<00:03, 16.00it/s]
 62%|######2   | 98/157 [00:05<00:03, 15.97it/s]
 64%|######3   | 100/157 [00:06<00:03, 15.95it/s]
 65%|######4   | 102/157 [00:06<00:03, 15.96it/s]
 66%|######6   | 104/157 [00:06<00:03, 15.96it/s]
 68%|######7   | 106/157 [00:06<00:03, 15.66it/s]
 69%|######8   | 108/157 [00:06<00:03, 15.79it/s]
 70%|#######   | 110/157 [00:06<00:02, 15.77it/s]
 71%|#######1  | 112/157 [00:06<00:02, 15.94it/s]
 73%|#######2  | 114/157 [00:06<00:02, 15.91it/s]
 74%|#######3  | 116/157 [00:07<00:02, 16.00it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.03it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.11it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.13it/s]
 79%|#######8  | 124/157 [00:07<00:02, 16.10it/s]
 80%|########  | 126/157 [00:07<00:01, 16.18it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.13it/s]
 83%|########2 | 130/157 [00:07<00:01, 16.16it/s]
 84%|########4 | 132/157 [00:08<00:01, 16.21it/s]
 85%|########5 | 134/157 [00:08<00:01, 16.24it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.28it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.29it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.34it/s]
 90%|######### | 142/157 [00:08<00:00, 16.32it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.33it/s]
 93%|#########2| 146/157 [00:08<00:00, 16.35it/s]
 94%|#########4| 148/157 [00:09<00:00, 16.35it/s]
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 99%|#########9| 156/157 [00:09<00:00, 16.25it/s]
100%|##########| 157/157 [00:09<00:00, 16.41it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:51, 15.09it/s]
  1%|          | 4/781 [00:00<00:47, 16.43it/s]
  1%|          | 6/781 [00:00<00:45, 16.89it/s]
  1%|1         | 8/781 [00:00<00:44, 17.25it/s]
  1%|1         | 10/781 [00:00<00:44, 17.49it/s]
  2%|1         | 12/781 [00:00<00:43, 17.63it/s]
  2%|1         | 14/781 [00:00<00:43, 17.70it/s]
  2%|2         | 16/781 [00:00<00:43, 17.77it/s]
  2%|2         | 18/781 [00:01<00:42, 17.82it/s]
  3%|2         | 20/781 [00:01<00:42, 17.84it/s]
  3%|2         | 22/781 [00:01<00:42, 17.85it/s]
  3%|3         | 24/781 [00:01<00:42, 17.84it/s]
  3%|3         | 26/781 [00:01<00:42, 17.88it/s]
  4%|3         | 28/781 [00:01<00:42, 17.88it/s]
  4%|3         | 30/781 [00:01<00:41, 17.90it/s]
  4%|4         | 32/781 [00:01<00:41, 17.92it/s]
  4%|4         | 34/781 [00:01<00:41, 17.81it/s]
  5%|4         | 36/781 [00:02<00:42, 17.72it/s]
  5%|4         | 38/781 [00:02<00:42, 17.66it/s]
  5%|5         | 40/781 [00:02<00:41, 17.69it/s]
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  6%|5         | 44/781 [00:02<00:41, 17.78it/s]
  6%|5         | 46/781 [00:02<00:41, 17.81it/s]
  6%|6         | 48/781 [00:02<00:41, 17.87it/s]
  6%|6         | 50/781 [00:02<00:40, 17.87it/s]
  7%|6         | 52/781 [00:02<00:40, 17.87it/s]
  7%|6         | 54/781 [00:03<00:40, 17.88it/s]
  7%|7         | 56/781 [00:03<00:40, 17.87it/s]
  7%|7         | 58/781 [00:03<00:40, 17.89it/s]
  8%|7         | 60/781 [00:03<00:40, 17.89it/s]
  8%|7         | 62/781 [00:03<00:40, 17.85it/s]
  8%|8         | 64/781 [00:03<00:40, 17.86it/s]
  8%|8         | 66/781 [00:03<00:39, 17.89it/s]
  9%|8         | 68/781 [00:03<00:39, 18.07it/s]
  9%|9         | 71/781 [00:03<00:37, 19.09it/s]
  9%|9         | 73/781 [00:04<00:37, 18.88it/s]
 10%|9         | 75/781 [00:04<00:37, 18.61it/s]
 10%|9         | 77/781 [00:04<00:38, 18.29it/s]
 10%|#         | 79/781 [00:04<00:37, 18.51it/s]
 10%|#         | 81/781 [00:04<00:37, 18.64it/s]
 11%|#         | 83/781 [00:04<00:37, 18.59it/s]
 11%|#         | 85/781 [00:04<00:36, 18.94it/s]
 11%|#1        | 87/781 [00:04<00:36, 19.13it/s]
 11%|#1        | 89/781 [00:04<00:36, 18.79it/s]
 12%|#1        | 91/781 [00:05<00:36, 18.98it/s]
 12%|#1        | 93/781 [00:05<00:36, 18.97it/s]
 12%|#2        | 95/781 [00:05<00:36, 18.80it/s]
 12%|#2        | 97/781 [00:05<00:36, 18.69it/s]
 13%|#2        | 99/781 [00:05<00:36, 18.76it/s]
 13%|#2        | 101/781 [00:05<00:36, 18.87it/s]
 13%|#3        | 103/781 [00:05<00:36, 18.67it/s]
 13%|#3        | 105/781 [00:05<00:36, 18.29it/s]
 14%|#3        | 107/781 [00:05<00:37, 18.02it/s]
 14%|#3        | 109/781 [00:06<00:37, 18.13it/s]
 14%|#4        | 111/781 [00:06<00:37, 18.06it/s]
 14%|#4        | 113/781 [00:06<00:37, 17.89it/s]
 15%|#4        | 115/781 [00:06<00:36, 18.27it/s]
 15%|#4        | 117/781 [00:06<00:36, 18.19it/s]
 15%|#5        | 119/781 [00:06<00:36, 18.13it/s]
 15%|#5        | 121/781 [00:06<00:36, 18.07it/s]
 16%|#5        | 123/781 [00:06<00:35, 18.32it/s]
 16%|#6        | 125/781 [00:06<00:36, 18.21it/s]
 16%|#6        | 127/781 [00:07<00:36, 18.12it/s]
 17%|#6        | 129/781 [00:07<00:36, 17.90it/s]
 17%|#6        | 131/781 [00:07<00:36, 17.91it/s]
 17%|#7        | 133/781 [00:07<00:35, 18.04it/s]
 17%|#7        | 135/781 [00:07<00:35, 17.96it/s]
 18%|#7        | 137/781 [00:07<00:36, 17.74it/s]
 18%|#7        | 139/781 [00:07<00:35, 18.33it/s]
 18%|#8        | 142/781 [00:07<00:33, 18.93it/s]
 18%|#8        | 144/781 [00:07<00:34, 18.50it/s]
 19%|#8        | 147/781 [00:08<00:33, 18.83it/s]
 19%|#9        | 149/781 [00:08<00:34, 18.31it/s]
 19%|#9        | 151/781 [00:08<00:34, 18.46it/s]
 20%|#9        | 153/781 [00:08<00:33, 18.48it/s]
 20%|#9        | 155/781 [00:08<00:33, 18.74it/s]
 20%|##        | 157/781 [00:08<00:32, 18.91it/s]
 20%|##        | 159/781 [00:08<00:33, 18.62it/s]
 21%|##        | 161/781 [00:08<00:33, 18.44it/s]
 21%|##        | 163/781 [00:08<00:32, 18.73it/s]
 21%|##1       | 165/781 [00:09<00:33, 18.48it/s]
 21%|##1       | 167/781 [00:09<00:32, 18.78it/s]
 22%|##1       | 170/781 [00:09<00:31, 19.27it/s]
 22%|##2       | 173/781 [00:09<00:30, 19.84it/s]
 22%|##2       | 175/781 [00:09<00:30, 19.87it/s]
 23%|##2       | 177/781 [00:09<00:30, 19.78it/s]
 23%|##3       | 180/781 [00:09<00:30, 19.92it/s]
 23%|##3       | 182/781 [00:09<00:30, 19.82it/s]
 24%|##3       | 185/781 [00:10<00:29, 19.95it/s]
 24%|##3       | 187/781 [00:10<00:29, 19.86it/s]
 24%|##4       | 189/781 [00:10<00:30, 19.61it/s]
 25%|##4       | 192/781 [00:10<00:29, 19.80it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.44it/s]
 25%|##5       | 197/781 [00:10<00:29, 19.67it/s]
 26%|##5       | 200/781 [00:10<00:28, 20.08it/s]
 26%|##5       | 203/781 [00:10<00:28, 20.10it/s]
 26%|##6       | 206/781 [00:11<00:28, 20.21it/s]
 27%|##6       | 209/781 [00:11<00:28, 20.11it/s]
 27%|##7       | 212/781 [00:11<00:28, 20.23it/s]
 28%|##7       | 215/781 [00:11<00:28, 20.11it/s]
 28%|##7       | 218/781 [00:11<00:27, 20.13it/s]
 28%|##8       | 221/781 [00:11<00:27, 20.53it/s]
 29%|##8       | 224/781 [00:12<00:27, 20.43it/s]
 29%|##9       | 227/781 [00:12<00:27, 20.35it/s]
 29%|##9       | 230/781 [00:12<00:27, 20.38it/s]
 30%|##9       | 233/781 [00:12<00:26, 20.55it/s]
 30%|###       | 236/781 [00:12<00:26, 20.81it/s]
 31%|###       | 239/781 [00:12<00:26, 20.35it/s]
 31%|###       | 242/781 [00:12<00:26, 20.19it/s]
 31%|###1      | 245/781 [00:13<00:26, 20.55it/s]
 32%|###1      | 248/781 [00:13<00:26, 20.44it/s]
 32%|###2      | 251/781 [00:13<00:26, 19.74it/s]
 33%|###2      | 254/781 [00:13<00:26, 20.12it/s]
 33%|###2      | 257/781 [00:13<00:26, 20.13it/s]
 33%|###3      | 260/781 [00:13<00:25, 20.46it/s]
 34%|###3      | 263/781 [00:13<00:25, 19.98it/s]
 34%|###4      | 266/781 [00:14<00:25, 20.02it/s]
 34%|###4      | 269/781 [00:14<00:25, 20.40it/s]
 35%|###4      | 272/781 [00:14<00:25, 20.32it/s]
 35%|###5      | 275/781 [00:14<00:24, 20.39it/s]
 36%|###5      | 278/781 [00:14<00:24, 20.20it/s]
 36%|###5      | 281/781 [00:14<00:24, 20.06it/s]
 36%|###6      | 284/781 [00:14<00:24, 20.17it/s]
 37%|###6      | 287/781 [00:15<00:24, 20.37it/s]
 37%|###7      | 290/781 [00:15<00:23, 20.54it/s]
 38%|###7      | 293/781 [00:15<00:23, 20.67it/s]
 38%|###7      | 296/781 [00:15<00:23, 20.85it/s]
 38%|###8      | 299/781 [00:15<00:22, 21.11it/s]
 39%|###8      | 302/781 [00:15<00:22, 21.28it/s]
 39%|###9      | 305/781 [00:15<00:22, 21.46it/s]
 39%|###9      | 308/781 [00:16<00:22, 21.41it/s]
 40%|###9      | 311/781 [00:16<00:21, 21.47it/s]
 40%|####      | 314/781 [00:16<00:21, 21.60it/s]
 41%|####      | 317/781 [00:16<00:21, 21.69it/s]
 41%|####      | 320/781 [00:16<00:21, 21.72it/s]
 41%|####1     | 323/781 [00:16<00:21, 21.52it/s]
 42%|####1     | 326/781 [00:16<00:21, 21.35it/s]
 42%|####2     | 329/781 [00:17<00:21, 21.30it/s]
 43%|####2     | 332/781 [00:17<00:20, 21.39it/s]
 43%|####2     | 335/781 [00:17<00:20, 21.35it/s]
 43%|####3     | 338/781 [00:17<00:20, 21.36it/s]
 44%|####3     | 341/781 [00:17<00:21, 20.52it/s]
 44%|####4     | 344/781 [00:17<00:21, 20.61it/s]
 44%|####4     | 347/781 [00:17<00:21, 19.83it/s]
 45%|####4     | 349/781 [00:18<00:22, 19.38it/s]
 45%|####5     | 352/781 [00:18<00:21, 19.73it/s]
 45%|####5     | 355/781 [00:18<00:21, 20.23it/s]
 46%|####5     | 358/781 [00:18<00:20, 20.64it/s]
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100%|#########9| 780/781 [00:39<00:00, 19.33it/s]
100%|##########| 781/781 [00:39<00:00, 19.65it/s]




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Validation Progress:  59%|#####9    | 26/44 [00:27<00:20,  1.12s/it]
Validation Progress:  61%|######1   | 27/44 [00:29<00:19,  1.13s/it]
Validation Progress:  61%|######1   | 27/44 [00:29<00:19,  1.12s/it]
Validation Progress:  61%|######1   | 27/44 [00:29<00:19,  1.12s/it]
Validation Progress:  61%|######1   | 27/44 [00:29<00:19,  1.12s/it]
Validation Progress:  64%|######3   | 28/44 [00:30<00:17,  1.12s/it]
Validation Progress:  64%|######3   | 28/44 [00:30<00:17,  1.12s/it]
Validation Progress:  64%|######3   | 28/44 [00:30<00:17,  1.12s/it]
Validation Progress:  64%|######3   | 28/44 [00:30<00:17,  1.12s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.11s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.11s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.11s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.11s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.12s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.12s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.12s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.12s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  77%|#######7  | 34/44 [00:36<00:11,  1.17s/it]
Validation Progress:  77%|#######7  | 34/44 [00:36<00:11,  1.17s/it]
Validation Progress:  77%|#######7  | 34/44 [00:36<00:11,  1.17s/it]
Validation Progress:  77%|#######7  | 34/44 [00:36<00:11,  1.17s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.15s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.17s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.21s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:43<00:04,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:43<00:04,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:06<00:00,  6.80s/it]
100%|##########| 1/1 [00:06<00:00,  6.80s/it]

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  9%|8         | 14/157 [00:00<00:08, 15.95it/s]
 10%|#         | 16/157 [00:01<00:08, 15.87it/s]
 11%|#1        | 18/157 [00:01<00:08, 15.96it/s]
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100%|##########| 157/157 [00:09<00:00, 17.03it/s]

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  8%|7         | 59/781 [00:03<00:39, 18.32it/s]
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 17%|#7        | 135/781 [00:07<00:33, 19.16it/s]
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 21%|##1       | 165/781 [00:09<00:32, 18.84it/s]
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 22%|##1       | 169/781 [00:09<00:33, 18.40it/s]
 22%|##1       | 171/781 [00:09<00:32, 18.75it/s]
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 23%|##2       | 178/781 [00:09<00:31, 19.02it/s]
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 31%|###       | 240/781 [00:13<00:28, 18.72it/s]
 31%|###       | 242/781 [00:13<00:29, 18.56it/s]
 31%|###1      | 244/781 [00:13<00:28, 18.75it/s]
 31%|###1      | 246/781 [00:13<00:28, 18.55it/s]
 32%|###1      | 248/781 [00:13<00:29, 18.32it/s]
 32%|###2      | 250/781 [00:13<00:29, 18.19it/s]
 32%|###2      | 252/781 [00:13<00:28, 18.64it/s]
 33%|###2      | 254/781 [00:13<00:27, 19.00it/s]
 33%|###2      | 256/781 [00:13<00:27, 19.04it/s]
 33%|###3      | 258/781 [00:14<00:27, 18.77it/s]
 33%|###3      | 261/781 [00:14<00:27, 18.99it/s]
 34%|###3      | 263/781 [00:14<00:27, 18.69it/s]
 34%|###3      | 265/781 [00:14<00:27, 18.64it/s]
 34%|###4      | 267/781 [00:14<00:27, 18.40it/s]
 34%|###4      | 269/781 [00:14<00:27, 18.33it/s]
 35%|###4      | 271/781 [00:14<00:27, 18.55it/s]
 35%|###4      | 273/781 [00:14<00:27, 18.47it/s]
 35%|###5      | 275/781 [00:14<00:27, 18.44it/s]
 35%|###5      | 277/781 [00:15<00:27, 18.42it/s]
 36%|###5      | 279/781 [00:15<00:27, 18.32it/s]
 36%|###5      | 281/781 [00:15<00:27, 18.33it/s]
 36%|###6      | 283/781 [00:15<00:27, 18.36it/s]
 36%|###6      | 285/781 [00:15<00:27, 18.37it/s]
 37%|###6      | 287/781 [00:15<00:26, 18.56it/s]
 37%|###7      | 290/781 [00:15<00:25, 19.14it/s]
 37%|###7      | 292/781 [00:15<00:25, 19.17it/s]
 38%|###7      | 294/781 [00:15<00:25, 19.13it/s]
 38%|###7      | 296/781 [00:16<00:25, 18.88it/s]
 38%|###8      | 298/781 [00:16<00:25, 18.71it/s]
 38%|###8      | 300/781 [00:16<00:25, 18.54it/s]
 39%|###8      | 302/781 [00:16<00:25, 18.68it/s]
 39%|###8      | 304/781 [00:16<00:25, 18.57it/s]
 39%|###9      | 306/781 [00:16<00:25, 18.73it/s]
 39%|###9      | 308/781 [00:16<00:25, 18.61it/s]
 40%|###9      | 310/781 [00:16<00:25, 18.56it/s]
 40%|###9      | 312/781 [00:16<00:25, 18.71it/s]
 40%|####      | 314/781 [00:17<00:25, 18.61it/s]
 40%|####      | 316/781 [00:17<00:24, 18.74it/s]
 41%|####      | 318/781 [00:17<00:24, 18.61it/s]
 41%|####      | 320/781 [00:17<00:24, 18.56it/s]
 41%|####1     | 323/781 [00:17<00:23, 19.12it/s]
 42%|####1     | 325/781 [00:17<00:24, 18.90it/s]
 42%|####1     | 327/781 [00:17<00:23, 18.99it/s]
 42%|####2     | 329/781 [00:17<00:24, 18.79it/s]
 42%|####2     | 331/781 [00:17<00:23, 18.91it/s]
 43%|####2     | 333/781 [00:18<00:23, 18.74it/s]
 43%|####2     | 335/781 [00:18<00:23, 18.71it/s]
 43%|####3     | 337/781 [00:18<00:23, 18.50it/s]
 43%|####3     | 339/781 [00:18<00:23, 18.43it/s]
 44%|####3     | 341/781 [00:18<00:23, 18.41it/s]
 44%|####3     | 343/781 [00:18<00:23, 18.40it/s]
 44%|####4     | 345/781 [00:18<00:23, 18.64it/s]
 44%|####4     | 347/781 [00:18<00:22, 18.99it/s]
 45%|####4     | 350/781 [00:18<00:22, 19.42it/s]
 45%|####5     | 352/781 [00:19<00:22, 19.02it/s]
 45%|####5     | 354/781 [00:19<00:22, 18.80it/s]
 46%|####5     | 356/781 [00:19<00:22, 18.86it/s]
 46%|####5     | 358/781 [00:19<00:22, 18.61it/s]
 46%|####6     | 360/781 [00:19<00:22, 18.48it/s]
 46%|####6     | 362/781 [00:19<00:22, 18.67it/s]
 47%|####6     | 364/781 [00:19<00:22, 18.51it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.44it/s]
 47%|####7     | 368/781 [00:19<00:22, 18.68it/s]
 47%|####7     | 370/781 [00:20<00:22, 18.51it/s]
 48%|####7     | 372/781 [00:20<00:22, 18.43it/s]
 48%|####7     | 374/781 [00:20<00:22, 18.43it/s]
 48%|####8     | 376/781 [00:20<00:21, 18.43it/s]
 48%|####8     | 378/781 [00:20<00:21, 18.42it/s]
 49%|####8     | 380/781 [00:20<00:21, 18.43it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.41it/s]
 49%|####9     | 384/781 [00:20<00:21, 18.42it/s]
 49%|####9     | 386/781 [00:20<00:21, 18.45it/s]
 50%|####9     | 388/781 [00:20<00:21, 18.47it/s]
 50%|####9     | 390/781 [00:21<00:21, 18.49it/s]
 50%|#####     | 392/781 [00:21<00:21, 18.49it/s]
 50%|#####     | 394/781 [00:21<00:20, 18.50it/s]
 51%|#####     | 396/781 [00:21<00:20, 18.40it/s]
 51%|#####     | 398/781 [00:21<00:20, 18.56it/s]
 51%|#####1    | 400/781 [00:21<00:20, 18.67it/s]
 51%|#####1    | 402/781 [00:21<00:20, 18.67it/s]
 52%|#####1    | 404/781 [00:21<00:20, 18.61it/s]
 52%|#####1    | 406/781 [00:21<00:19, 18.86it/s]
 52%|#####2    | 408/781 [00:22<00:20, 18.63it/s]
 52%|#####2    | 410/781 [00:22<00:19, 18.90it/s]
 53%|#####2    | 412/781 [00:22<00:19, 19.14it/s]
 53%|#####3    | 414/781 [00:22<00:19, 19.27it/s]
 53%|#####3    | 416/781 [00:22<00:19, 18.92it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.70it/s]
 54%|#####3    | 420/781 [00:22<00:19, 18.62it/s]
 54%|#####4    | 422/781 [00:22<00:19, 18.76it/s]
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 55%|#####4    | 426/781 [00:23<00:18, 18.78it/s]
 55%|#####4    | 428/781 [00:23<00:18, 18.89it/s]
 55%|#####5    | 430/781 [00:23<00:18, 18.94it/s]
 55%|#####5    | 432/781 [00:23<00:18, 19.03it/s]
 56%|#####5    | 435/781 [00:23<00:17, 19.42it/s]
 56%|#####5    | 437/781 [00:23<00:18, 19.09it/s]
 56%|#####6    | 440/781 [00:23<00:17, 19.47it/s]
 57%|#####6    | 443/781 [00:23<00:17, 19.47it/s]
 57%|#####6    | 445/781 [00:23<00:17, 19.39it/s]
 57%|#####7    | 447/781 [00:24<00:17, 19.34it/s]
 57%|#####7    | 449/781 [00:24<00:17, 19.51it/s]
 58%|#####7    | 451/781 [00:24<00:16, 19.43it/s]
 58%|#####8    | 453/781 [00:24<00:17, 19.06it/s]
 58%|#####8    | 456/781 [00:24<00:16, 19.48it/s]
 59%|#####8    | 458/781 [00:24<00:16, 19.12it/s]
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 59%|#####9    | 462/781 [00:24<00:17, 18.71it/s]
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 60%|#####9    | 466/781 [00:25<00:16, 19.15it/s]
 60%|#####9    | 468/781 [00:25<00:16, 18.95it/s]
 60%|######    | 470/781 [00:25<00:16, 18.67it/s]
 60%|######    | 472/781 [00:25<00:16, 18.48it/s]
 61%|######    | 474/781 [00:25<00:16, 18.52it/s]
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 61%|######1   | 478/781 [00:25<00:16, 18.84it/s]
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 62%|######2   | 486/781 [00:26<00:15, 18.90it/s]
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 63%|######2   | 490/781 [00:26<00:15, 18.69it/s]
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 64%|######3   | 499/781 [00:26<00:14, 19.27it/s]
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 64%|######4   | 503/781 [00:27<00:14, 18.91it/s]
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 65%|######4   | 507/781 [00:27<00:14, 19.02it/s]
 65%|######5   | 510/781 [00:27<00:13, 19.46it/s]
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 66%|######6   | 517/781 [00:27<00:13, 19.46it/s]
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 67%|######6   | 523/781 [00:28<00:13, 19.21it/s]
 67%|######7   | 526/781 [00:28<00:13, 19.55it/s]
 68%|######7   | 528/781 [00:28<00:13, 19.33it/s]
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 68%|######8   | 532/781 [00:28<00:13, 18.80it/s]
 68%|######8   | 534/781 [00:28<00:12, 19.05it/s]
 69%|######8   | 537/781 [00:28<00:12, 19.45it/s]
 69%|######9   | 539/781 [00:28<00:12, 19.38it/s]
 69%|######9   | 541/781 [00:29<00:12, 19.31it/s]
 70%|######9   | 543/781 [00:29<00:12, 19.26it/s]
 70%|######9   | 545/781 [00:29<00:12, 19.22it/s]
 70%|#######   | 547/781 [00:29<00:12, 19.03it/s]
 70%|#######   | 549/781 [00:29<00:12, 19.05it/s]
 71%|#######   | 552/781 [00:29<00:11, 19.19it/s]
 71%|#######   | 554/781 [00:29<00:11, 19.13it/s]
 71%|#######1  | 556/781 [00:29<00:11, 18.86it/s]
 71%|#######1  | 558/781 [00:29<00:11, 18.61it/s]
 72%|#######1  | 560/781 [00:30<00:11, 18.75it/s]
 72%|#######1  | 562/781 [00:30<00:11, 18.86it/s]
 72%|#######2  | 565/781 [00:30<00:11, 19.14it/s]
 73%|#######2  | 567/781 [00:30<00:11, 18.92it/s]
 73%|#######2  | 569/781 [00:30<00:11, 18.73it/s]
 73%|#######3  | 571/781 [00:30<00:11, 18.50it/s]
 73%|#######3  | 573/781 [00:30<00:11, 18.52it/s]
 74%|#######3  | 575/781 [00:30<00:11, 18.63it/s]
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 74%|#######4  | 580/781 [00:31<00:10, 18.98it/s]
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 75%|#######5  | 586/781 [00:31<00:10, 18.41it/s]
 75%|#######5  | 588/781 [00:31<00:10, 18.75it/s]
 76%|#######5  | 590/781 [00:31<00:10, 18.75it/s]
 76%|#######5  | 592/781 [00:31<00:10, 18.26it/s]
 76%|#######6  | 594/781 [00:31<00:10, 18.65it/s]
 76%|#######6  | 596/781 [00:31<00:09, 18.51it/s]
 77%|#######6  | 598/781 [00:32<00:09, 18.81it/s]
 77%|#######6  | 600/781 [00:32<00:09, 18.75it/s]
 77%|#######7  | 602/781 [00:32<00:09, 18.49it/s]
 77%|#######7  | 604/781 [00:32<00:09, 18.42it/s]
 78%|#######7  | 606/781 [00:32<00:09, 18.67it/s]
 78%|#######7  | 608/781 [00:32<00:09, 18.58it/s]
 78%|#######8  | 610/781 [00:32<00:09, 18.57it/s]
 78%|#######8  | 612/781 [00:32<00:09, 18.51it/s]
 79%|#######8  | 614/781 [00:32<00:09, 18.41it/s]
 79%|#######8  | 616/781 [00:33<00:08, 18.81it/s]
 79%|#######9  | 618/781 [00:33<00:08, 18.89it/s]
 80%|#######9  | 621/781 [00:33<00:08, 19.09it/s]
 80%|#######9  | 623/781 [00:33<00:08, 19.13it/s]
 80%|########  | 625/781 [00:33<00:08, 19.32it/s]
 80%|########  | 627/781 [00:33<00:08, 18.98it/s]
 81%|########  | 629/781 [00:33<00:08, 18.74it/s]
 81%|########  | 631/781 [00:33<00:07, 18.84it/s]
 81%|########1 | 633/781 [00:33<00:07, 18.66it/s]
 81%|########1 | 636/781 [00:34<00:07, 19.20it/s]
 82%|########1 | 638/781 [00:34<00:07, 18.75it/s]
 82%|########1 | 640/781 [00:34<00:07, 18.69it/s]
 82%|########2 | 642/781 [00:34<00:07, 18.95it/s]
 82%|########2 | 644/781 [00:34<00:07, 19.15it/s]
 83%|########2 | 646/781 [00:34<00:07, 18.69it/s]
 83%|########2 | 648/781 [00:34<00:07, 18.67it/s]
 83%|########3 | 650/781 [00:34<00:07, 18.66it/s]
 83%|########3 | 652/781 [00:34<00:06, 18.72it/s]
 84%|########3 | 654/781 [00:35<00:06, 18.69it/s]
 84%|########3 | 656/781 [00:35<00:06, 18.77it/s]
 84%|########4 | 658/781 [00:35<00:06, 18.90it/s]
 85%|########4 | 660/781 [00:35<00:06, 18.96it/s]
 85%|########4 | 662/781 [00:35<00:06, 19.03it/s]
 85%|########5 | 664/781 [00:35<00:06, 19.06it/s]
 85%|########5 | 667/781 [00:35<00:05, 19.24it/s]
 86%|########5 | 669/781 [00:35<00:05, 19.23it/s]
 86%|########6 | 672/781 [00:35<00:05, 19.59it/s]
 86%|########6 | 674/781 [00:36<00:05, 19.50it/s]
 87%|########6 | 676/781 [00:36<00:05, 19.12it/s]
 87%|########6 | 678/781 [00:36<00:05, 19.35it/s]
 87%|########7 | 680/781 [00:36<00:05, 19.04it/s]
 87%|########7 | 682/781 [00:36<00:05, 19.07it/s]
 88%|########7 | 685/781 [00:36<00:04, 19.47it/s]
 88%|########7 | 687/781 [00:36<00:04, 19.13it/s]
 88%|########8 | 690/781 [00:36<00:04, 19.27it/s]
 89%|########8 | 692/781 [00:37<00:04, 19.24it/s]
 89%|########8 | 694/781 [00:37<00:04, 19.22it/s]
 89%|########9 | 696/781 [00:37<00:04, 18.83it/s]
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 90%|########9 | 700/781 [00:37<00:04, 18.97it/s]
 90%|########9 | 702/781 [00:37<00:04, 19.15it/s]
 90%|######### | 704/781 [00:37<00:04, 19.00it/s]
 90%|######### | 706/781 [00:37<00:03, 18.91it/s]
 91%|######### | 708/781 [00:37<00:03, 18.70it/s]
 91%|######### | 710/781 [00:37<00:03, 18.83it/s]
 91%|#########1| 712/781 [00:38<00:03, 18.91it/s]
 91%|#########1| 714/781 [00:38<00:03, 18.87it/s]
 92%|#########1| 716/781 [00:38<00:03, 18.55it/s]
 92%|#########1| 718/781 [00:38<00:03, 18.60it/s]
 92%|#########2| 720/781 [00:38<00:03, 18.59it/s]
 92%|#########2| 722/781 [00:38<00:03, 18.35it/s]
 93%|#########2| 724/781 [00:38<00:03, 18.50it/s]
 93%|#########2| 726/781 [00:38<00:02, 18.56it/s]
 93%|#########3| 728/781 [00:38<00:02, 18.75it/s]
 93%|#########3| 730/781 [00:39<00:02, 18.61it/s]
 94%|#########3| 732/781 [00:39<00:02, 18.52it/s]
 94%|#########3| 734/781 [00:39<00:02, 18.47it/s]
 94%|#########4| 736/781 [00:39<00:02, 18.46it/s]
 94%|#########4| 738/781 [00:39<00:02, 18.45it/s]
 95%|#########4| 740/781 [00:39<00:02, 18.46it/s]
 95%|#########5| 742/781 [00:39<00:02, 18.69it/s]
 95%|#########5| 744/781 [00:39<00:01, 18.58it/s]
 96%|#########5| 746/781 [00:39<00:01, 18.57it/s]
 96%|#########5| 748/781 [00:40<00:01, 18.52it/s]
 96%|#########6| 750/781 [00:40<00:01, 18.62it/s]
 96%|#########6| 752/781 [00:40<00:01, 18.55it/s]
 97%|#########6| 754/781 [00:40<00:01, 18.75it/s]
 97%|#########6| 756/781 [00:40<00:01, 18.85it/s]
 97%|#########7| 758/781 [00:40<00:01, 18.91it/s]
 97%|#########7| 760/781 [00:40<00:01, 19.00it/s]
 98%|#########7| 762/781 [00:40<00:01, 18.78it/s]
 98%|#########7| 764/781 [00:40<00:00, 18.69it/s]
 98%|#########8| 766/781 [00:40<00:00, 18.83it/s]
 98%|#########8| 768/781 [00:41<00:00, 18.75it/s]
 99%|#########8| 770/781 [00:41<00:00, 18.88it/s]
 99%|#########8| 772/781 [00:41<00:00, 18.90it/s]
 99%|#########9| 774/781 [00:41<00:00, 18.85it/s]
 99%|#########9| 776/781 [00:41<00:00, 18.77it/s]
100%|#########9| 778/781 [00:41<00:00, 18.41it/s]
100%|#########9| 780/781 [00:41<00:00, 18.36it/s]
100%|##########| 781/781 [00:41<00:00, 18.70it/s]




Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:40,  1.07it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:40,  1.07it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:40,  1.05it/s]
Validation Progress:   2%|2         | 1/44 [00:01<00:45,  1.06s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:43,  1.05s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:44,  1.05s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:44,  1.05s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:44,  1.05s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:40,  1.00it/s]
Validation Progress:   7%|6         | 3/44 [00:03<00:41,  1.00s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:41,  1.00s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:41,  1.02s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:39,  1.00it/s]
Validation Progress:   9%|9         | 4/44 [00:04<00:39,  1.00it/s]
Validation Progress:   9%|9         | 4/44 [00:04<00:40,  1.01s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:41,  1.03s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:41,  1.06s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:41,  1.07s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:41,  1.07s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:42,  1.08s/it]
Validation Progress:  14%|#3        | 6/44 [00:06<00:38,  1.01s/it]
Validation Progress:  14%|#3        | 6/44 [00:06<00:38,  1.01s/it]
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  6%|6         | 48/781 [00:02<00:38, 19.28it/s]
  7%|6         | 51/781 [00:02<00:37, 19.47it/s]
  7%|6         | 53/781 [00:02<00:38, 19.09it/s]
  7%|7         | 55/781 [00:02<00:38, 18.68it/s]
  7%|7         | 57/781 [00:02<00:39, 18.48it/s]
  8%|7         | 59/781 [00:03<00:38, 18.76it/s]
  8%|7         | 61/781 [00:03<00:38, 18.68it/s]
  8%|8         | 63/781 [00:03<00:37, 18.95it/s]
  8%|8         | 66/781 [00:03<00:36, 19.36it/s]
  9%|8         | 68/781 [00:03<00:37, 18.97it/s]
  9%|8         | 70/781 [00:03<00:38, 18.68it/s]
  9%|9         | 72/781 [00:03<00:38, 18.48it/s]
  9%|9         | 74/781 [00:03<00:38, 18.35it/s]
 10%|9         | 76/781 [00:03<00:38, 18.22it/s]
 10%|9         | 78/781 [00:04<00:37, 18.59it/s]
 10%|#         | 80/781 [00:04<00:37, 18.85it/s]
 10%|#         | 82/781 [00:04<00:37, 18.57it/s]
 11%|#         | 85/781 [00:04<00:36, 19.15it/s]
 11%|#1        | 87/781 [00:04<00:36, 18.79it/s]
 11%|#1        | 89/781 [00:04<00:37, 18.53it/s]
 12%|#1        | 91/781 [00:04<00:37, 18.37it/s]
 12%|#1        | 93/781 [00:04<00:37, 18.26it/s]
 12%|#2        | 95/781 [00:05<00:37, 18.18it/s]
 12%|#2        | 97/781 [00:05<00:37, 18.13it/s]
 13%|#2        | 99/781 [00:05<00:36, 18.51it/s]
 13%|#3        | 102/781 [00:05<00:35, 19.13it/s]
 13%|#3        | 104/781 [00:05<00:35, 19.08it/s]
 14%|#3        | 106/781 [00:05<00:35, 18.88it/s]
 14%|#3        | 108/781 [00:05<00:36, 18.63it/s]
 14%|#4        | 111/781 [00:05<00:34, 19.16it/s]
 14%|#4        | 113/781 [00:05<00:35, 18.81it/s]
 15%|#4        | 115/781 [00:06<00:36, 18.48it/s]
 15%|#4        | 117/781 [00:06<00:36, 18.23it/s]
 15%|#5        | 119/781 [00:06<00:35, 18.42it/s]
 15%|#5        | 121/781 [00:06<00:35, 18.44it/s]
 16%|#5        | 123/781 [00:06<00:35, 18.29it/s]
 16%|#6        | 126/781 [00:06<00:34, 18.76it/s]
 16%|#6        | 128/781 [00:06<00:35, 18.41it/s]
 17%|#6        | 130/781 [00:06<00:35, 18.15it/s]
 17%|#6        | 132/781 [00:07<00:36, 17.98it/s]
 17%|#7        | 134/781 [00:07<00:35, 18.22it/s]
 17%|#7        | 136/781 [00:07<00:35, 18.10it/s]
 18%|#7        | 138/781 [00:07<00:35, 18.07it/s]
 18%|#8        | 141/781 [00:07<00:34, 18.71it/s]
 18%|#8        | 143/781 [00:07<00:34, 18.37it/s]
 19%|#8        | 145/781 [00:07<00:35, 18.12it/s]
 19%|#8        | 147/781 [00:07<00:35, 17.98it/s]
 19%|#9        | 149/781 [00:07<00:35, 17.83it/s]
 19%|#9        | 151/781 [00:08<00:34, 18.15it/s]
 20%|#9        | 153/781 [00:08<00:34, 18.21it/s]
 20%|#9        | 155/781 [00:08<00:34, 18.15it/s]
 20%|##        | 157/781 [00:08<00:34, 17.91it/s]
 20%|##        | 159/781 [00:08<00:34, 17.78it/s]
 21%|##        | 161/781 [00:08<00:34, 18.10it/s]
 21%|##        | 163/781 [00:08<00:34, 17.97it/s]
 21%|##1       | 165/781 [00:08<00:34, 17.83it/s]
 21%|##1       | 167/781 [00:08<00:34, 17.74it/s]
 22%|##1       | 169/781 [00:09<00:33, 18.08it/s]
 22%|##1       | 171/781 [00:09<00:33, 18.19it/s]
 22%|##2       | 173/781 [00:09<00:33, 18.29it/s]
 22%|##2       | 175/781 [00:09<00:33, 18.20it/s]
 23%|##2       | 177/781 [00:09<00:33, 18.14it/s]
 23%|##2       | 179/781 [00:09<00:33, 18.08it/s]
 23%|##3       | 182/781 [00:09<00:31, 18.82it/s]
 24%|##3       | 184/781 [00:09<00:32, 18.58it/s]
 24%|##3       | 186/781 [00:09<00:32, 18.40it/s]
 24%|##4       | 188/781 [00:10<00:31, 18.68it/s]
 24%|##4       | 190/781 [00:10<00:31, 18.47it/s]
 25%|##4       | 192/781 [00:10<00:31, 18.66it/s]
 25%|##4       | 194/781 [00:10<00:31, 18.59it/s]
 25%|##5       | 196/781 [00:10<00:32, 18.27it/s]
 25%|##5       | 198/781 [00:10<00:32, 18.16it/s]
 26%|##5       | 200/781 [00:10<00:31, 18.38it/s]
 26%|##5       | 202/781 [00:10<00:31, 18.35it/s]
 26%|##6       | 204/781 [00:10<00:31, 18.23it/s]
 26%|##6       | 206/781 [00:11<00:31, 18.15it/s]
 27%|##6       | 209/781 [00:11<00:30, 18.88it/s]
 27%|##7       | 211/781 [00:11<00:30, 18.63it/s]
 27%|##7       | 213/781 [00:11<00:30, 18.82it/s]
 28%|##7       | 215/781 [00:11<00:30, 18.56it/s]
 28%|##7       | 217/781 [00:11<00:30, 18.29it/s]
 28%|##8       | 219/781 [00:11<00:30, 18.18it/s]
 28%|##8       | 221/781 [00:11<00:30, 18.10it/s]
 29%|##8       | 223/781 [00:12<00:31, 17.86it/s]
 29%|##8       | 225/781 [00:12<00:31, 17.77it/s]
 29%|##9       | 227/781 [00:12<00:31, 17.68it/s]
 29%|##9       | 229/781 [00:12<00:31, 17.78it/s]
 30%|##9       | 231/781 [00:12<00:30, 17.85it/s]
 30%|##9       | 233/781 [00:12<00:30, 17.81it/s]
 30%|###       | 235/781 [00:12<00:30, 17.81it/s]
 30%|###       | 237/781 [00:12<00:30, 17.78it/s]
 31%|###       | 239/781 [00:12<00:30, 17.80it/s]
 31%|###       | 241/781 [00:13<00:30, 17.81it/s]
 31%|###1      | 243/781 [00:13<00:30, 17.81it/s]
 31%|###1      | 245/781 [00:13<00:30, 17.82it/s]
 32%|###1      | 247/781 [00:13<00:29, 17.84it/s]
 32%|###1      | 249/781 [00:13<00:29, 17.85it/s]
 32%|###2      | 251/781 [00:13<00:29, 17.83it/s]
 32%|###2      | 253/781 [00:13<00:29, 17.82it/s]
 33%|###2      | 255/781 [00:13<00:29, 17.57it/s]
 33%|###2      | 257/781 [00:13<00:29, 17.64it/s]
 33%|###3      | 259/781 [00:14<00:29, 17.71it/s]
 33%|###3      | 261/781 [00:14<00:29, 17.74it/s]
 34%|###3      | 263/781 [00:14<00:29, 17.75it/s]
 34%|###3      | 265/781 [00:14<00:29, 17.77it/s]
 34%|###4      | 267/781 [00:14<00:28, 17.79it/s]
 34%|###4      | 269/781 [00:14<00:28, 17.80it/s]
 35%|###4      | 271/781 [00:14<00:28, 17.82it/s]
 35%|###4      | 273/781 [00:14<00:28, 17.79it/s]
 35%|###5      | 275/781 [00:14<00:28, 17.81it/s]
 35%|###5      | 277/781 [00:15<00:28, 17.83it/s]
 36%|###5      | 279/781 [00:15<00:28, 17.81it/s]
 36%|###5      | 281/781 [00:15<00:28, 17.83it/s]
 36%|###6      | 283/781 [00:15<00:27, 17.83it/s]
 36%|###6      | 285/781 [00:15<00:27, 17.84it/s]
 37%|###6      | 287/781 [00:15<00:27, 17.84it/s]
 37%|###7      | 289/781 [00:15<00:27, 17.84it/s]
 37%|###7      | 291/781 [00:15<00:27, 17.85it/s]
 38%|###7      | 293/781 [00:15<00:27, 17.84it/s]
 38%|###7      | 295/781 [00:16<00:27, 17.84it/s]
 38%|###8      | 297/781 [00:16<00:27, 17.85it/s]
 38%|###8      | 299/781 [00:16<00:26, 17.85it/s]
 39%|###8      | 301/781 [00:16<00:26, 17.87it/s]
 39%|###8      | 303/781 [00:16<00:26, 17.88it/s]
 39%|###9      | 305/781 [00:16<00:26, 17.87it/s]
 39%|###9      | 307/781 [00:16<00:26, 17.89it/s]
 40%|###9      | 309/781 [00:16<00:26, 17.90it/s]
 40%|###9      | 311/781 [00:16<00:26, 17.90it/s]
 40%|####      | 313/781 [00:17<00:26, 17.91it/s]
 40%|####      | 315/781 [00:17<00:26, 17.92it/s]
 41%|####      | 317/781 [00:17<00:25, 17.93it/s]
 41%|####      | 319/781 [00:17<00:25, 17.93it/s]
 41%|####1     | 321/781 [00:17<00:25, 17.94it/s]
 41%|####1     | 323/781 [00:17<00:25, 17.92it/s]
 42%|####1     | 325/781 [00:17<00:25, 17.95it/s]
 42%|####1     | 327/781 [00:17<00:25, 17.95it/s]
 42%|####2     | 329/781 [00:17<00:25, 17.97it/s]
 42%|####2     | 331/781 [00:18<00:25, 17.96it/s]
 43%|####2     | 333/781 [00:18<00:24, 17.96it/s]
 43%|####2     | 335/781 [00:18<00:24, 17.95it/s]
 43%|####3     | 337/781 [00:18<00:24, 17.98it/s]
 43%|####3     | 339/781 [00:18<00:24, 17.98it/s]
 44%|####3     | 341/781 [00:18<00:24, 18.01it/s]
 44%|####3     | 343/781 [00:18<00:24, 17.99it/s]
 44%|####4     | 345/781 [00:18<00:24, 17.99it/s]
 44%|####4     | 347/781 [00:18<00:24, 17.97it/s]
 45%|####4     | 349/781 [00:19<00:24, 17.96it/s]
 45%|####4     | 351/781 [00:19<00:23, 18.00it/s]
 45%|####5     | 353/781 [00:19<00:23, 17.97it/s]
 45%|####5     | 355/781 [00:19<00:23, 17.97it/s]
 46%|####5     | 357/781 [00:19<00:23, 17.96it/s]
 46%|####5     | 359/781 [00:19<00:23, 17.99it/s]
 46%|####6     | 361/781 [00:19<00:23, 17.99it/s]
 46%|####6     | 363/781 [00:19<00:23, 17.97it/s]
 47%|####6     | 365/781 [00:19<00:23, 17.96it/s]
 47%|####6     | 367/781 [00:20<00:23, 18.00it/s]
 47%|####7     | 369/781 [00:20<00:22, 17.98it/s]
 48%|####7     | 371/781 [00:20<00:22, 17.97it/s]
 48%|####7     | 373/781 [00:20<00:22, 18.02it/s]
 48%|####8     | 375/781 [00:20<00:22, 17.97it/s]
 48%|####8     | 377/781 [00:20<00:22, 17.96it/s]
 49%|####8     | 379/781 [00:20<00:22, 17.95it/s]
 49%|####8     | 381/781 [00:20<00:22, 17.95it/s]
 49%|####9     | 383/781 [00:20<00:22, 17.96it/s]
 49%|####9     | 385/781 [00:21<00:22, 17.97it/s]
 50%|####9     | 387/781 [00:21<00:21, 17.96it/s]
 50%|####9     | 389/781 [00:21<00:21, 17.96it/s]
 50%|#####     | 391/781 [00:21<00:21, 17.86it/s]
 50%|#####     | 393/781 [00:21<00:21, 18.19it/s]
 51%|#####     | 395/781 [00:21<00:21, 18.25it/s]
 51%|#####     | 397/781 [00:21<00:21, 18.01it/s]
 51%|#####1    | 399/781 [00:21<00:21, 17.89it/s]
 51%|#####1    | 401/781 [00:21<00:21, 18.02it/s]
 52%|#####1    | 403/781 [00:22<00:20, 18.03it/s]
 52%|#####1    | 405/781 [00:22<00:20, 18.29it/s]
 52%|#####2    | 407/781 [00:22<00:20, 18.28it/s]
 52%|#####2    | 409/781 [00:22<00:20, 18.15it/s]
 53%|#####2    | 411/781 [00:22<00:20, 17.93it/s]
 53%|#####2    | 413/781 [00:22<00:20, 18.18it/s]
 53%|#####3    | 416/781 [00:22<00:19, 18.87it/s]
 54%|#####3    | 419/781 [00:22<00:18, 19.56it/s]
 54%|#####4    | 422/781 [00:23<00:17, 19.96it/s]
 54%|#####4    | 424/781 [00:23<00:17, 19.85it/s]
 55%|#####4    | 426/781 [00:23<00:18, 19.20it/s]
 55%|#####4    | 428/781 [00:23<00:18, 18.73it/s]
 55%|#####5    | 430/781 [00:23<00:18, 18.79it/s]
 55%|#####5    | 433/781 [00:23<00:18, 18.99it/s]
 56%|#####5    | 435/781 [00:23<00:18, 19.09it/s]
 56%|#####5    | 437/781 [00:23<00:17, 19.21it/s]
 56%|#####6    | 440/781 [00:23<00:17, 19.48it/s]
 57%|#####6    | 442/781 [00:24<00:17, 19.35it/s]
 57%|#####6    | 444/781 [00:24<00:17, 19.35it/s]
 57%|#####7    | 446/781 [00:24<00:17, 19.09it/s]
 57%|#####7    | 448/781 [00:24<00:17, 19.07it/s]
 58%|#####7    | 450/781 [00:24<00:17, 19.18it/s]
 58%|#####7    | 452/781 [00:24<00:17, 19.26it/s]
 58%|#####8    | 454/781 [00:24<00:17, 19.01it/s]
 58%|#####8    | 456/781 [00:24<00:17, 18.68it/s]
 59%|#####8    | 458/781 [00:24<00:17, 18.92it/s]
 59%|#####8    | 460/781 [00:25<00:16, 18.96it/s]
 59%|#####9    | 462/781 [00:25<00:16, 19.13it/s]
 59%|#####9    | 464/781 [00:25<00:16, 19.25it/s]
 60%|#####9    | 466/781 [00:25<00:16, 19.36it/s]
 60%|######    | 469/781 [00:25<00:15, 20.07it/s]
 60%|######    | 471/781 [00:25<00:15, 19.92it/s]
 61%|######    | 474/781 [00:25<00:15, 20.11it/s]
 61%|######1   | 477/781 [00:25<00:15, 19.34it/s]
 61%|######1   | 479/781 [00:26<00:15, 19.38it/s]
 62%|######1   | 481/781 [00:26<00:15, 19.27it/s]
 62%|######1   | 484/781 [00:26<00:14, 19.95it/s]
 62%|######2   | 486/781 [00:26<00:14, 19.84it/s]
 63%|######2   | 489/781 [00:26<00:14, 20.05it/s]
 63%|######2   | 492/781 [00:26<00:14, 20.09it/s]
 63%|######3   | 495/781 [00:26<00:14, 19.99it/s]
 64%|######3   | 497/781 [00:26<00:14, 19.65it/s]
 64%|######4   | 500/781 [00:27<00:14, 19.90it/s]
 64%|######4   | 502/781 [00:27<00:14, 19.41it/s]
 65%|######4   | 504/781 [00:27<00:14, 19.00it/s]
 65%|######4   | 506/781 [00:27<00:14, 18.72it/s]
 65%|######5   | 508/781 [00:27<00:14, 18.50it/s]
 65%|######5   | 510/781 [00:27<00:14, 18.23it/s]
 66%|######5   | 512/781 [00:27<00:14, 18.51it/s]
 66%|######5   | 514/781 [00:27<00:14, 18.36it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.53it/s]
 66%|######6   | 519/781 [00:28<00:13, 19.38it/s]
 67%|######6   | 522/781 [00:28<00:13, 19.63it/s]
 67%|######7   | 524/781 [00:28<00:13, 19.11it/s]
 67%|######7   | 527/781 [00:28<00:12, 19.68it/s]
 68%|######7   | 530/781 [00:28<00:12, 19.81it/s]
 68%|######8   | 532/781 [00:28<00:12, 19.73it/s]
 68%|######8   | 534/781 [00:28<00:12, 19.39it/s]
 69%|######8   | 537/781 [00:29<00:12, 19.61it/s]
 69%|######9   | 540/781 [00:29<00:12, 20.04it/s]
 70%|######9   | 543/781 [00:29<00:11, 20.29it/s]
 70%|######9   | 546/781 [00:29<00:11, 20.44it/s]
 70%|#######   | 549/781 [00:29<00:11, 20.45it/s]
 71%|#######   | 552/781 [00:29<00:11, 20.36it/s]
 71%|#######1  | 555/781 [00:29<00:11, 20.05it/s]
 71%|#######1  | 558/781 [00:30<00:11, 20.18it/s]
 72%|#######1  | 561/781 [00:30<00:10, 20.38it/s]
 72%|#######2  | 564/781 [00:30<00:10, 20.45it/s]
 73%|#######2  | 567/781 [00:30<00:10, 20.35it/s]
 73%|#######2  | 570/781 [00:30<00:10, 19.79it/s]
 73%|#######3  | 573/781 [00:30<00:10, 20.21it/s]
 74%|#######3  | 576/781 [00:30<00:10, 19.95it/s]
 74%|#######4  | 578/781 [00:31<00:10, 19.84it/s]
 74%|#######4  | 580/781 [00:31<00:10, 19.64it/s]
 75%|#######4  | 583/781 [00:31<00:09, 20.16it/s]
 75%|#######5  | 586/781 [00:31<00:09, 20.02it/s]
 75%|#######5  | 588/781 [00:31<00:09, 19.93it/s]
 76%|#######5  | 590/781 [00:31<00:09, 19.57it/s]
 76%|#######5  | 593/781 [00:31<00:09, 19.85it/s]
 76%|#######6  | 595/781 [00:31<00:09, 19.42it/s]
 76%|#######6  | 597/781 [00:31<00:09, 19.28it/s]
 77%|#######6  | 599/781 [00:32<00:09, 19.33it/s]
 77%|#######6  | 601/781 [00:32<00:09, 18.92it/s]
 77%|#######7  | 604/781 [00:32<00:09, 19.27it/s]
 78%|#######7  | 606/781 [00:32<00:09, 18.78it/s]
 78%|#######7  | 608/781 [00:32<00:09, 18.54it/s]
 78%|#######8  | 610/781 [00:32<00:09, 18.60it/s]
 78%|#######8  | 612/781 [00:32<00:09, 18.51it/s]
 79%|#######8  | 614/781 [00:32<00:09, 18.36it/s]
 79%|#######8  | 616/781 [00:33<00:09, 18.25it/s]
 79%|#######9  | 618/781 [00:33<00:08, 18.16it/s]
 79%|#######9  | 620/781 [00:33<00:08, 18.10it/s]
 80%|#######9  | 622/781 [00:33<00:08, 17.96it/s]
 80%|#######9  | 624/781 [00:33<00:08, 17.92it/s]
 80%|########  | 626/781 [00:33<00:08, 18.18it/s]
 80%|########  | 628/781 [00:33<00:08, 18.52it/s]
 81%|########  | 630/781 [00:33<00:08, 18.48it/s]
 81%|########  | 632/781 [00:33<00:08, 18.33it/s]
 81%|########1 | 634/781 [00:34<00:08, 18.33it/s]
 81%|########1 | 636/781 [00:34<00:07, 18.54it/s]
 82%|########1 | 638/781 [00:34<00:07, 18.50it/s]
 82%|########2 | 641/781 [00:34<00:07, 19.40it/s]
 82%|########2 | 644/781 [00:34<00:07, 19.41it/s]
 83%|########2 | 647/781 [00:34<00:06, 19.88it/s]
 83%|########3 | 649/781 [00:34<00:06, 19.50it/s]
 83%|########3 | 651/781 [00:34<00:06, 19.07it/s]
 84%|########3 | 653/781 [00:35<00:06, 18.65it/s]
 84%|########3 | 655/781 [00:35<00:06, 18.32it/s]
 84%|########4 | 657/781 [00:35<00:06, 18.16it/s]
 84%|########4 | 659/781 [00:35<00:06, 18.10it/s]
 85%|########4 | 661/781 [00:35<00:06, 18.05it/s]
 85%|########4 | 663/781 [00:35<00:09, 12.40it/s]
 85%|########5 | 665/781 [00:35<00:08, 13.65it/s]
 85%|########5 | 667/781 [00:35<00:07, 14.70it/s]
 86%|########5 | 669/781 [00:36<00:07, 15.53it/s]
 86%|########5 | 671/781 [00:36<00:06, 16.18it/s]
 86%|########6 | 673/781 [00:36<00:06, 16.67it/s]
 86%|########6 | 675/781 [00:36<00:06, 17.01it/s]
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 23%|##2       | 36/157 [00:02<00:07, 15.88it/s]
 24%|##4       | 38/157 [00:02<00:07, 15.96it/s]
 25%|##5       | 40/157 [00:02<00:07, 16.06it/s]
 27%|##6       | 42/157 [00:02<00:07, 16.10it/s]
 28%|##8       | 44/157 [00:02<00:06, 16.17it/s]
 29%|##9       | 46/157 [00:02<00:06, 16.24it/s]
 31%|###       | 48/157 [00:03<00:06, 16.25it/s]
 32%|###1      | 50/157 [00:03<00:06, 16.27it/s]
 33%|###3      | 52/157 [00:03<00:06, 16.25it/s]
 34%|###4      | 54/157 [00:03<00:06, 16.28it/s]
 36%|###5      | 56/157 [00:03<00:06, 16.33it/s]
 37%|###6      | 58/157 [00:03<00:06, 16.31it/s]
 38%|###8      | 60/157 [00:03<00:05, 16.24it/s]
 39%|###9      | 62/157 [00:03<00:05, 16.28it/s]
 41%|####      | 64/157 [00:04<00:05, 16.30it/s]
 42%|####2     | 66/157 [00:04<00:05, 16.32it/s]
 43%|####3     | 68/157 [00:04<00:05, 16.33it/s]
 45%|####4     | 70/157 [00:04<00:05, 16.33it/s]
 46%|####5     | 72/157 [00:04<00:05, 16.34it/s]
 47%|####7     | 74/157 [00:04<00:05, 16.31it/s]
 48%|####8     | 76/157 [00:04<00:04, 16.23it/s]
 50%|####9     | 78/157 [00:04<00:04, 16.12it/s]
 51%|#####     | 80/157 [00:05<00:04, 16.12it/s]
 52%|#####2    | 82/157 [00:05<00:04, 16.16it/s]
 54%|#####3    | 84/157 [00:05<00:04, 16.11it/s]
 55%|#####4    | 86/157 [00:05<00:04, 15.98it/s]
 56%|#####6    | 88/157 [00:05<00:04, 15.92it/s]
 57%|#####7    | 90/157 [00:05<00:04, 15.87it/s]
 59%|#####8    | 92/157 [00:05<00:04, 15.85it/s]
 60%|#####9    | 94/157 [00:05<00:03, 15.86it/s]
 61%|######1   | 96/157 [00:06<00:03, 15.95it/s]
 62%|######2   | 98/157 [00:06<00:03, 15.99it/s]
 64%|######3   | 100/157 [00:06<00:03, 16.08it/s]
 65%|######4   | 102/157 [00:06<00:03, 16.04it/s]
 66%|######6   | 104/157 [00:06<00:03, 16.06it/s]
 68%|######7   | 106/157 [00:06<00:03, 16.11it/s]
 69%|######8   | 108/157 [00:06<00:03, 16.17it/s]
 70%|#######   | 110/157 [00:06<00:02, 16.19it/s]
 71%|#######1  | 112/157 [00:07<00:02, 16.25it/s]
 73%|#######2  | 114/157 [00:07<00:02, 16.26it/s]
 74%|#######3  | 116/157 [00:07<00:02, 16.22it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.14it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.16it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.19it/s]
 79%|#######8  | 124/157 [00:07<00:02, 16.23it/s]
 80%|########  | 126/157 [00:07<00:01, 16.26it/s]
 82%|########1 | 128/157 [00:08<00:01, 16.30it/s]
 83%|########2 | 130/157 [00:08<00:01, 16.26it/s]
 84%|########4 | 132/157 [00:08<00:01, 16.30it/s]
 85%|########5 | 134/157 [00:08<00:01, 16.30it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.29it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.25it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.21it/s]
 90%|######### | 142/157 [00:08<00:00, 16.27it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.27it/s]
 93%|#########2| 146/157 [00:09<00:00, 16.30it/s]
 94%|#########4| 148/157 [00:09<00:00, 16.35it/s]
 96%|#########5| 150/157 [00:09<00:00, 16.24it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.14it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.03it/s]
 99%|#########9| 156/157 [00:09<00:00, 15.86it/s]
100%|##########| 157/157 [00:09<00:00, 16.08it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:52, 14.98it/s]
  1%|          | 4/781 [00:00<00:47, 16.23it/s]
  1%|          | 6/781 [00:00<00:46, 16.69it/s]
  1%|1         | 8/781 [00:00<00:45, 17.05it/s]
  1%|1         | 10/781 [00:00<00:44, 17.22it/s]
  2%|1         | 12/781 [00:00<00:44, 17.28it/s]
  2%|1         | 14/781 [00:00<00:44, 17.33it/s]
  2%|2         | 16/781 [00:00<00:43, 17.39it/s]
  2%|2         | 18/781 [00:01<00:43, 17.54it/s]
  3%|2         | 20/781 [00:01<00:43, 17.49it/s]
  3%|2         | 22/781 [00:01<00:43, 17.61it/s]
  3%|3         | 24/781 [00:01<00:42, 17.70it/s]
  3%|3         | 26/781 [00:01<00:42, 17.74it/s]
  4%|3         | 28/781 [00:01<00:42, 17.79it/s]
  4%|3         | 30/781 [00:01<00:42, 17.82it/s]
  4%|4         | 32/781 [00:01<00:41, 17.87it/s]
  4%|4         | 34/781 [00:01<00:41, 17.90it/s]
  5%|4         | 36/781 [00:02<00:41, 17.91it/s]
  5%|4         | 38/781 [00:02<00:41, 17.94it/s]
  5%|5         | 40/781 [00:02<00:41, 17.90it/s]
  5%|5         | 42/781 [00:02<00:41, 17.90it/s]
  6%|5         | 44/781 [00:02<00:41, 17.90it/s]
  6%|5         | 46/781 [00:02<00:41, 17.91it/s]
  6%|6         | 48/781 [00:02<00:41, 17.87it/s]
  6%|6         | 50/781 [00:02<00:40, 17.87it/s]
  7%|6         | 52/781 [00:02<00:40, 17.87it/s]
  7%|6         | 54/781 [00:03<00:40, 17.91it/s]
  7%|7         | 56/781 [00:03<00:40, 17.92it/s]
  7%|7         | 58/781 [00:03<00:40, 17.93it/s]
  8%|7         | 60/781 [00:03<00:40, 17.91it/s]
  8%|7         | 62/781 [00:03<00:40, 17.91it/s]
  8%|8         | 64/781 [00:03<00:40, 17.92it/s]
  8%|8         | 66/781 [00:03<00:39, 17.92it/s]
  9%|8         | 68/781 [00:03<00:39, 17.92it/s]
  9%|8         | 70/781 [00:03<00:39, 17.91it/s]
  9%|9         | 72/781 [00:04<00:39, 17.92it/s]
  9%|9         | 74/781 [00:04<00:39, 18.01it/s]
 10%|9         | 76/781 [00:04<00:39, 18.06it/s]
 10%|9         | 78/781 [00:04<00:38, 18.07it/s]
 10%|#         | 80/781 [00:04<00:38, 18.02it/s]
 10%|#         | 82/781 [00:04<00:38, 18.00it/s]
 11%|#         | 84/781 [00:04<00:38, 17.96it/s]
 11%|#1        | 86/781 [00:04<00:38, 17.94it/s]
 11%|#1        | 88/781 [00:04<00:38, 17.93it/s]
 12%|#1        | 90/781 [00:05<00:38, 17.93it/s]
 12%|#1        | 92/781 [00:05<00:38, 17.96it/s]
 12%|#2        | 94/781 [00:05<00:38, 17.93it/s]
 12%|#2        | 96/781 [00:05<00:38, 17.83it/s]
 13%|#2        | 98/781 [00:05<00:38, 17.73it/s]
 13%|#2        | 100/781 [00:05<00:38, 17.65it/s]
 13%|#3        | 102/781 [00:05<00:38, 17.60it/s]
 13%|#3        | 104/781 [00:05<00:38, 17.55it/s]
 14%|#3        | 106/781 [00:05<00:38, 17.59it/s]
 14%|#3        | 108/781 [00:06<00:38, 17.56it/s]
 14%|#4        | 110/781 [00:06<00:37, 17.74it/s]
 14%|#4        | 112/781 [00:06<00:37, 17.84it/s]
 15%|#4        | 114/781 [00:06<00:37, 17.91it/s]
 15%|#4        | 116/781 [00:06<00:37, 17.79it/s]
 15%|#5        | 118/781 [00:06<00:37, 17.70it/s]
 15%|#5        | 120/781 [00:06<00:37, 17.69it/s]
 16%|#5        | 122/781 [00:06<00:37, 17.77it/s]
 16%|#5        | 124/781 [00:06<00:37, 17.70it/s]
 16%|#6        | 126/781 [00:07<00:37, 17.62it/s]
 16%|#6        | 128/781 [00:07<00:37, 17.59it/s]
 17%|#6        | 130/781 [00:07<00:37, 17.56it/s]
 17%|#6        | 132/781 [00:07<00:37, 17.54it/s]
 17%|#7        | 134/781 [00:07<00:36, 17.55it/s]
 17%|#7        | 136/781 [00:07<00:36, 17.62it/s]
 18%|#7        | 138/781 [00:07<00:36, 17.70it/s]
 18%|#7        | 140/781 [00:07<00:36, 17.78it/s]
 18%|#8        | 142/781 [00:08<00:35, 17.79it/s]
 18%|#8        | 144/781 [00:08<00:35, 17.76it/s]
 19%|#8        | 146/781 [00:08<00:35, 17.80it/s]
 19%|#8        | 148/781 [00:08<00:35, 17.85it/s]
 19%|#9        | 150/781 [00:08<00:35, 17.85it/s]
 19%|#9        | 152/781 [00:08<00:35, 17.87it/s]
 20%|#9        | 154/781 [00:08<00:34, 17.96it/s]
 20%|#9        | 156/781 [00:08<00:34, 17.99it/s]
 20%|##        | 158/781 [00:08<00:34, 17.91it/s]
 20%|##        | 160/781 [00:09<00:34, 17.92it/s]
 21%|##        | 162/781 [00:09<00:34, 17.95it/s]
 21%|##        | 164/781 [00:09<00:34, 17.96it/s]
 21%|##1       | 166/781 [00:09<00:34, 17.96it/s]
 22%|##1       | 168/781 [00:09<00:34, 17.95it/s]
 22%|##1       | 170/781 [00:09<00:34, 17.95it/s]
 22%|##2       | 172/781 [00:09<00:34, 17.78it/s]
 22%|##2       | 174/781 [00:09<00:34, 17.73it/s]
 23%|##2       | 176/781 [00:09<00:34, 17.75it/s]
 23%|##2       | 178/781 [00:10<00:34, 17.56it/s]
 23%|##3       | 180/781 [00:10<00:34, 17.52it/s]
 23%|##3       | 182/781 [00:10<00:34, 17.33it/s]
 24%|##3       | 184/781 [00:10<00:34, 17.41it/s]
 24%|##3       | 186/781 [00:10<00:34, 17.39it/s]
 24%|##4       | 188/781 [00:10<00:34, 17.39it/s]
 24%|##4       | 190/781 [00:10<00:34, 17.09it/s]
 25%|##4       | 192/781 [00:10<00:34, 17.06it/s]
 25%|##4       | 194/781 [00:10<00:34, 17.15it/s]
 25%|##5       | 196/781 [00:11<00:33, 17.23it/s]
 25%|##5       | 198/781 [00:11<00:34, 17.06it/s]
 26%|##5       | 200/781 [00:11<00:33, 17.17it/s]
 26%|##5       | 202/781 [00:11<00:33, 17.23it/s]
 26%|##6       | 204/781 [00:11<00:33, 17.36it/s]
 26%|##6       | 206/781 [00:11<00:32, 17.55it/s]
 27%|##6       | 208/781 [00:11<00:32, 17.65it/s]
 27%|##6       | 210/781 [00:11<00:32, 17.74it/s]
 27%|##7       | 212/781 [00:11<00:32, 17.77it/s]
 27%|##7       | 214/781 [00:12<00:31, 17.81it/s]
 28%|##7       | 216/781 [00:12<00:31, 17.83it/s]
 28%|##7       | 218/781 [00:12<00:31, 17.84it/s]
 28%|##8       | 220/781 [00:12<00:31, 17.87it/s]
 28%|##8       | 222/781 [00:12<00:31, 17.90it/s]
 29%|##8       | 224/781 [00:12<00:31, 17.89it/s]
 29%|##8       | 226/781 [00:12<00:31, 17.88it/s]
 29%|##9       | 228/781 [00:12<00:30, 17.90it/s]
 29%|##9       | 230/781 [00:12<00:30, 17.89it/s]
 30%|##9       | 232/781 [00:13<00:30, 17.92it/s]
 30%|##9       | 234/781 [00:13<00:30, 17.91it/s]
 30%|###       | 236/781 [00:13<00:30, 17.89it/s]
 30%|###       | 238/781 [00:13<00:30, 17.88it/s]
 31%|###       | 240/781 [00:13<00:30, 17.89it/s]
 31%|###       | 242/781 [00:13<00:30, 17.90it/s]
 31%|###1      | 244/781 [00:13<00:30, 17.85it/s]
 31%|###1      | 246/781 [00:13<00:29, 17.88it/s]
 32%|###1      | 248/781 [00:13<00:29, 17.89it/s]
 32%|###2      | 250/781 [00:14<00:29, 17.91it/s]
 32%|###2      | 252/781 [00:14<00:29, 17.90it/s]
 33%|###2      | 254/781 [00:14<00:29, 17.89it/s]
 33%|###2      | 256/781 [00:14<00:29, 17.91it/s]
 33%|###3      | 258/781 [00:14<00:29, 17.88it/s]
 33%|###3      | 260/781 [00:14<00:29, 17.89it/s]
 34%|###3      | 262/781 [00:14<00:29, 17.88it/s]
 34%|###3      | 264/781 [00:14<00:28, 17.85it/s]
 34%|###4      | 266/781 [00:15<00:28, 17.85it/s]
 34%|###4      | 268/781 [00:15<00:28, 17.85it/s]
 35%|###4      | 270/781 [00:15<00:28, 17.82it/s]
 35%|###4      | 272/781 [00:15<00:28, 17.86it/s]
 35%|###5      | 274/781 [00:15<00:28, 17.92it/s]
 35%|###5      | 276/781 [00:15<00:28, 17.91it/s]
 36%|###5      | 278/781 [00:15<00:28, 17.91it/s]
 36%|###5      | 280/781 [00:15<00:27, 17.92it/s]
 36%|###6      | 282/781 [00:15<00:27, 17.88it/s]
 36%|###6      | 284/781 [00:16<00:28, 17.72it/s]
 37%|###6      | 286/781 [00:16<00:28, 17.63it/s]
 37%|###6      | 288/781 [00:16<00:27, 17.61it/s]
 37%|###7      | 290/781 [00:16<00:27, 17.58it/s]
 37%|###7      | 292/781 [00:16<00:27, 17.68it/s]
 38%|###7      | 294/781 [00:16<00:27, 17.74it/s]
 38%|###7      | 296/781 [00:16<00:27, 17.79it/s]
 38%|###8      | 298/781 [00:16<00:27, 17.83it/s]
 38%|###8      | 300/781 [00:16<00:26, 17.85it/s]
 39%|###8      | 302/781 [00:17<00:26, 17.85it/s]
 39%|###8      | 304/781 [00:17<00:26, 17.86it/s]
 39%|###9      | 306/781 [00:17<00:26, 17.87it/s]
 39%|###9      | 308/781 [00:17<00:26, 17.85it/s]
 40%|###9      | 310/781 [00:17<00:26, 17.85it/s]
 40%|###9      | 312/781 [00:17<00:26, 17.85it/s]
 40%|####      | 314/781 [00:17<00:26, 17.88it/s]
 40%|####      | 316/781 [00:17<00:25, 17.89it/s]
 41%|####      | 318/781 [00:17<00:25, 17.93it/s]
 41%|####      | 320/781 [00:18<00:25, 17.94it/s]
 41%|####1     | 322/781 [00:18<00:25, 17.94it/s]
 41%|####1     | 324/781 [00:18<00:25, 17.93it/s]
 42%|####1     | 326/781 [00:18<00:25, 17.91it/s]
 42%|####1     | 328/781 [00:18<00:25, 17.86it/s]
 42%|####2     | 330/781 [00:18<00:25, 17.85it/s]
 43%|####2     | 332/781 [00:18<00:25, 17.89it/s]
 43%|####2     | 334/781 [00:18<00:24, 17.91it/s]
 43%|####3     | 336/781 [00:18<00:24, 17.90it/s]
 43%|####3     | 338/781 [00:19<00:24, 17.83it/s]
 44%|####3     | 340/781 [00:19<00:24, 17.73it/s]
 44%|####3     | 342/781 [00:19<00:24, 17.79it/s]
 44%|####4     | 344/781 [00:19<00:24, 17.83it/s]
 44%|####4     | 346/781 [00:19<00:24, 17.81it/s]
 45%|####4     | 348/781 [00:19<00:24, 17.84it/s]
 45%|####4     | 350/781 [00:19<00:24, 17.77it/s]
 45%|####5     | 352/781 [00:19<00:24, 17.67it/s]
 45%|####5     | 354/781 [00:19<00:24, 17.58it/s]
 46%|####5     | 356/781 [00:20<00:23, 17.71it/s]
 46%|####5     | 358/781 [00:20<00:23, 17.74it/s]
 46%|####6     | 360/781 [00:20<00:23, 17.58it/s]
 46%|####6     | 362/781 [00:20<00:23, 17.63it/s]
 47%|####6     | 364/781 [00:20<00:23, 17.56it/s]
 47%|####6     | 366/781 [00:20<00:23, 17.65it/s]
 47%|####7     | 368/781 [00:20<00:23, 17.76it/s]
 47%|####7     | 370/781 [00:20<00:22, 18.11it/s]
 48%|####7     | 372/781 [00:20<00:22, 18.02it/s]
 48%|####7     | 374/781 [00:21<00:22, 17.97it/s]
 48%|####8     | 376/781 [00:21<00:22, 17.77it/s]
 48%|####8     | 378/781 [00:21<00:22, 17.82it/s]
 49%|####8     | 380/781 [00:21<00:22, 17.87it/s]
 49%|####8     | 382/781 [00:21<00:22, 17.87it/s]
 49%|####9     | 384/781 [00:21<00:22, 17.86it/s]
 49%|####9     | 386/781 [00:21<00:22, 17.86it/s]
 50%|####9     | 388/781 [00:21<00:21, 17.87it/s]
 50%|####9     | 390/781 [00:21<00:22, 17.54it/s]
 50%|#####     | 392/781 [00:22<00:22, 17.50it/s]
 50%|#####     | 394/781 [00:22<00:22, 17.46it/s]
 51%|#####     | 396/781 [00:22<00:22, 17.47it/s]
 51%|#####     | 398/781 [00:22<00:21, 17.48it/s]
 51%|#####1    | 400/781 [00:22<00:21, 17.52it/s]
 51%|#####1    | 402/781 [00:22<00:21, 17.50it/s]
 52%|#####1    | 404/781 [00:22<00:21, 17.49it/s]
 52%|#####1    | 406/781 [00:22<00:21, 17.52it/s]
 52%|#####2    | 408/781 [00:22<00:21, 17.55it/s]
 52%|#####2    | 410/781 [00:23<00:21, 17.66it/s]
 53%|#####2    | 412/781 [00:23<00:20, 17.74it/s]
 53%|#####3    | 414/781 [00:23<00:20, 17.78it/s]
 53%|#####3    | 416/781 [00:23<00:20, 17.81it/s]
 54%|#####3    | 418/781 [00:23<00:20, 17.83it/s]
 54%|#####3    | 420/781 [00:23<00:20, 17.81it/s]
 54%|#####4    | 422/781 [00:23<00:20, 17.83it/s]
 54%|#####4    | 424/781 [00:23<00:20, 17.82it/s]
 55%|#####4    | 426/781 [00:24<00:19, 17.82it/s]
 55%|#####4    | 428/781 [00:24<00:19, 17.72it/s]
 55%|#####5    | 430/781 [00:24<00:19, 17.62it/s]
 55%|#####5    | 432/781 [00:24<00:19, 17.60it/s]
 56%|#####5    | 434/781 [00:24<00:19, 17.52it/s]
 56%|#####5    | 436/781 [00:24<00:19, 17.49it/s]
 56%|#####6    | 438/781 [00:24<00:19, 17.50it/s]
 56%|#####6    | 440/781 [00:24<00:19, 17.46it/s]
 57%|#####6    | 442/781 [00:24<00:19, 17.42it/s]
 57%|#####6    | 444/781 [00:25<00:19, 17.43it/s]
 57%|#####7    | 446/781 [00:25<00:19, 17.42it/s]
 57%|#####7    | 448/781 [00:25<00:19, 17.39it/s]
 58%|#####7    | 450/781 [00:25<00:18, 17.43it/s]
 58%|#####7    | 452/781 [00:25<00:18, 17.43it/s]
 58%|#####8    | 454/781 [00:25<00:18, 17.44it/s]
 58%|#####8    | 456/781 [00:25<00:18, 17.45it/s]
 59%|#####8    | 458/781 [00:25<00:18, 17.44it/s]
 59%|#####8    | 460/781 [00:25<00:18, 17.44it/s]
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100%|##########| 781/781 [00:43<00:00, 17.87it/s]




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Validation Progress:  61%|######1   | 27/44 [00:29<00:19,  1.14s/it]
Validation Progress:  61%|######1   | 27/44 [00:29<00:19,  1.14s/it]
Validation Progress:  64%|######3   | 28/44 [00:30<00:18,  1.13s/it]
Validation Progress:  64%|######3   | 28/44 [00:30<00:18,  1.13s/it]
Validation Progress:  64%|######3   | 28/44 [00:30<00:18,  1.13s/it]
Validation Progress:  64%|######3   | 28/44 [00:30<00:18,  1.13s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.17s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.17s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.17s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.17s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.16s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.16s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.16s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.16s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.16s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.16s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.16s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.16s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.19s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.19s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.19s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.19s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.20s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:08<00:00,  8.70s/it]
100%|##########| 1/1 [00:08<00:00,  8.70s/it]

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  3%|2         | 4/157 [00:00<00:10, 14.28it/s]
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  8%|7         | 12/157 [00:00<00:08, 16.27it/s]
  9%|8         | 14/157 [00:00<00:08, 16.17it/s]
 10%|#         | 16/157 [00:01<00:08, 16.48it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.70it/s]
 13%|#2        | 20/157 [00:01<00:08, 16.59it/s]
 14%|#4        | 22/157 [00:01<00:08, 16.52it/s]
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 17%|#6        | 26/157 [00:01<00:07, 16.57it/s]
 18%|#7        | 28/157 [00:01<00:07, 16.43it/s]
 19%|#9        | 30/157 [00:01<00:07, 16.32it/s]
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 22%|##1       | 34/157 [00:02<00:07, 16.29it/s]
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 39%|###9      | 62/157 [00:03<00:05, 17.81it/s]
 41%|####      | 64/157 [00:03<00:05, 18.18it/s]
 42%|####2     | 66/157 [00:03<00:04, 18.42it/s]
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 50%|####9     | 78/157 [00:04<00:04, 17.76it/s]
 51%|#####     | 80/157 [00:04<00:04, 17.39it/s]
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 61%|######1   | 96/157 [00:05<00:03, 17.72it/s]
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 80%|########  | 126/157 [00:07<00:01, 16.57it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.52it/s]
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100%|##########| 157/157 [00:09<00:00, 17.02it/s]

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  7%|7         | 58/781 [00:03<00:40, 17.91it/s]
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  8%|7         | 62/781 [00:03<00:40, 17.91it/s]
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  9%|8         | 70/781 [00:03<00:39, 17.95it/s]
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 10%|9         | 76/781 [00:04<00:39, 17.95it/s]
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 10%|#         | 80/781 [00:04<00:39, 17.91it/s]
 10%|#         | 82/781 [00:04<00:39, 17.91it/s]
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 11%|#1        | 86/781 [00:04<00:38, 17.94it/s]
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 14%|#3        | 106/781 [00:05<00:38, 17.66it/s]
 14%|#3        | 108/781 [00:06<00:38, 17.58it/s]
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 14%|#4        | 112/781 [00:06<00:38, 17.52it/s]
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 17%|#6        | 132/781 [00:07<00:36, 17.64it/s]
 17%|#7        | 134/781 [00:07<00:36, 17.60it/s]
 17%|#7        | 136/781 [00:07<00:36, 17.64it/s]
 18%|#7        | 138/781 [00:07<00:36, 17.71it/s]
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 20%|##        | 158/781 [00:08<00:35, 17.58it/s]
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 21%|##        | 162/781 [00:09<00:34, 18.07it/s]
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 21%|##1       | 166/781 [00:09<00:33, 18.40it/s]
 22%|##1       | 169/781 [00:09<00:32, 18.95it/s]
 22%|##1       | 171/781 [00:09<00:32, 18.64it/s]
 22%|##2       | 173/781 [00:09<00:33, 18.34it/s]
 23%|##2       | 176/781 [00:09<00:31, 19.20it/s]
 23%|##2       | 179/781 [00:09<00:30, 19.85it/s]
 23%|##3       | 181/781 [00:10<00:30, 19.87it/s]
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 24%|##4       | 190/781 [00:10<00:30, 19.18it/s]
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 25%|##5       | 198/781 [00:11<00:31, 18.45it/s]
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 26%|##6       | 204/781 [00:11<00:31, 18.43it/s]
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 33%|###2      | 255/781 [00:13<00:25, 20.39it/s]
 33%|###3      | 258/781 [00:14<00:25, 20.73it/s]
 33%|###3      | 261/781 [00:14<00:24, 20.97it/s]
 34%|###3      | 264/781 [00:14<00:24, 20.70it/s]
 34%|###4      | 267/781 [00:14<00:24, 20.97it/s]
 35%|###4      | 270/781 [00:14<00:24, 21.16it/s]
 35%|###4      | 273/781 [00:14<00:23, 21.29it/s]
 35%|###5      | 276/781 [00:14<00:24, 20.79it/s]
 36%|###5      | 279/781 [00:15<00:25, 19.89it/s]
 36%|###5      | 281/781 [00:15<00:25, 19.72it/s]
 36%|###6      | 283/781 [00:15<00:25, 19.78it/s]
 37%|###6      | 286/781 [00:15<00:24, 20.19it/s]
 37%|###7      | 289/781 [00:15<00:24, 19.90it/s]
 37%|###7      | 291/781 [00:15<00:24, 19.65it/s]
 38%|###7      | 294/781 [00:15<00:24, 19.83it/s]
 38%|###8      | 297/781 [00:15<00:23, 20.29it/s]
 38%|###8      | 300/781 [00:16<00:24, 19.87it/s]
 39%|###8      | 303/781 [00:16<00:23, 20.22it/s]
 39%|###9      | 306/781 [00:16<00:23, 20.50it/s]
 40%|###9      | 309/781 [00:16<00:23, 20.35it/s]
 40%|###9      | 312/781 [00:16<00:23, 19.77it/s]
 40%|####      | 315/781 [00:16<00:23, 20.03it/s]
 41%|####      | 318/781 [00:17<00:23, 19.69it/s]
 41%|####1     | 321/781 [00:17<00:23, 19.98it/s]
 41%|####1     | 324/781 [00:17<00:23, 19.69it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.24it/s]
 42%|####1     | 328/781 [00:17<00:32, 13.80it/s]
 42%|####2     | 330/781 [00:17<00:30, 14.62it/s]
 43%|####2     | 332/781 [00:17<00:29, 15.32it/s]
 43%|####2     | 334/781 [00:18<00:27, 15.99it/s]
 43%|####3     | 336/781 [00:18<00:26, 16.49it/s]
 43%|####3     | 338/781 [00:18<00:25, 17.25it/s]
 44%|####3     | 340/781 [00:18<00:24, 17.69it/s]
 44%|####3     | 343/781 [00:18<00:23, 18.52it/s]
 44%|####4     | 345/781 [00:18<00:23, 18.24it/s]
 45%|####4     | 348/781 [00:18<00:22, 18.92it/s]
 45%|####4     | 350/781 [00:18<00:23, 18.69it/s]
 45%|####5     | 352/781 [00:19<00:22, 18.74it/s]
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 46%|####5     | 356/781 [00:19<00:23, 18.45it/s]
 46%|####5     | 358/781 [00:19<00:23, 18.29it/s]
 46%|####6     | 360/781 [00:19<00:22, 18.62it/s]
 46%|####6     | 363/781 [00:19<00:21, 19.46it/s]
 47%|####6     | 365/781 [00:19<00:21, 19.19it/s]
 47%|####6     | 367/781 [00:19<00:22, 18.79it/s]
 47%|####7     | 369/781 [00:19<00:22, 18.53it/s]
 48%|####7     | 371/781 [00:20<00:22, 18.35it/s]
 48%|####7     | 373/781 [00:20<00:22, 18.24it/s]
 48%|####8     | 375/781 [00:20<00:22, 18.16it/s]
 48%|####8     | 377/781 [00:20<00:21, 18.51it/s]
 49%|####8     | 379/781 [00:20<00:21, 18.80it/s]
 49%|####8     | 381/781 [00:20<00:21, 18.86it/s]
 49%|####9     | 383/781 [00:20<00:20, 19.03it/s]
 49%|####9     | 386/781 [00:20<00:20, 19.13it/s]
 50%|####9     | 388/781 [00:20<00:20, 18.80it/s]
 50%|####9     | 390/781 [00:21<00:21, 18.53it/s]
 50%|#####     | 392/781 [00:21<00:21, 18.35it/s]
 50%|#####     | 394/781 [00:21<00:21, 18.24it/s]
 51%|#####     | 396/781 [00:21<00:20, 18.48it/s]
 51%|#####1    | 399/781 [00:21<00:19, 19.46it/s]
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 52%|#####1    | 404/781 [00:21<00:18, 20.11it/s]
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 52%|#####2    | 408/781 [00:21<00:19, 19.14it/s]
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 53%|#####2    | 412/781 [00:22<00:19, 18.57it/s]
 53%|#####3    | 415/781 [00:22<00:19, 19.08it/s]
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 55%|#####4    | 426/781 [00:22<00:18, 19.36it/s]
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 55%|#####5    | 431/781 [00:23<00:17, 19.64it/s]
 55%|#####5    | 433/781 [00:23<00:18, 19.28it/s]
 56%|#####5    | 436/781 [00:23<00:17, 19.67it/s]
 56%|#####6    | 438/781 [00:23<00:17, 19.15it/s]
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 60%|#####9    | 467/781 [00:25<00:16, 19.13it/s]
 60%|######    | 469/781 [00:25<00:16, 18.80it/s]
 60%|######    | 471/781 [00:25<00:16, 18.52it/s]
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 61%|######1   | 478/781 [00:25<00:15, 19.37it/s]
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 70%|#######   | 547/781 [00:29<00:13, 17.84it/s]
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 71%|#######   | 551/781 [00:29<00:12, 17.86it/s]
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 71%|#######1  | 555/781 [00:29<00:12, 17.87it/s]
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 72%|#######1  | 559/781 [00:30<00:12, 17.87it/s]
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 73%|#######2  | 567/781 [00:30<00:11, 17.87it/s]
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 80%|#######9  | 621/781 [00:33<00:09, 17.53it/s]
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 80%|########  | 625/781 [00:33<00:08, 17.58it/s]
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 85%|########5 | 665/781 [00:36<00:06, 17.76it/s]
 85%|########5 | 667/781 [00:36<00:06, 17.79it/s]
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 91%|######### | 707/781 [00:38<00:04, 18.00it/s]
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 91%|#########1| 711/781 [00:38<00:03, 17.89it/s]
 91%|#########1| 713/781 [00:38<00:03, 17.83it/s]
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100%|#########9| 779/781 [00:42<00:00, 17.73it/s]
100%|##########| 781/781 [00:42<00:00, 17.71it/s]
100%|##########| 781/781 [00:42<00:00, 18.30it/s]




Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
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Validation Progress:   2%|2         | 1/44 [00:00<00:41,  1.03it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:42,  1.01it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:42,  1.00it/s]
Validation Progress:   2%|2         | 1/44 [00:01<00:44,  1.03s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:42,  1.02s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:42,  1.02s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:43,  1.03s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:43,  1.04s/it]
Validation Progress:   7%|6         | 3/44 [00:02<00:40,  1.01it/s]
Validation Progress:   7%|6         | 3/44 [00:02<00:40,  1.01it/s]
Validation Progress:   7%|6         | 3/44 [00:02<00:40,  1.01it/s]
Validation Progress:   7%|6         | 3/44 [00:03<00:40,  1.01it/s]
Validation Progress:   9%|9         | 4/44 [00:03<00:38,  1.03it/s]
Validation Progress:   9%|9         | 4/44 [00:03<00:39,  1.02it/s]
Validation Progress:   9%|9         | 4/44 [00:03<00:39,  1.02it/s]
Validation Progress:   9%|9         | 4/44 [00:03<00:39,  1.02it/s]
Validation Progress:  11%|#1        | 5/44 [00:05<00:39,  1.02s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:40,  1.03s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:40,  1.03s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:40,  1.03s/it]
Validation Progress:  14%|#3        | 6/44 [00:05<00:37,  1.02it/s]
Validation Progress:  14%|#3        | 6/44 [00:05<00:37,  1.01it/s]
Validation Progress:  14%|#3        | 6/44 [00:05<00:37,  1.01it/s]
Validation Progress:  14%|#3        | 6/44 [00:06<00:38,  1.01s/it]
Validation Progress:  16%|#5        | 7/44 [00:07<00:37,  1.01s/it]
Validation Progress:  16%|#5        | 7/44 [00:07<00:37,  1.01s/it]
Validation Progress:  16%|#5        | 7/44 [00:07<00:37,  1.02s/it]
Validation Progress:  16%|#5        | 7/44 [00:07<00:38,  1.03s/it]
Validation Progress:  18%|#8        | 8/44 [00:08<00:36,  1.00s/it]
Validation Progress:  18%|#8        | 8/44 [00:08<00:36,  1.00s/it]
Validation Progress:  18%|#8        | 8/44 [00:08<00:36,  1.00s/it]
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  9%|8         | 68/781 [00:03<00:37, 18.96it/s]
  9%|8         | 70/781 [00:03<00:37, 18.97it/s]
  9%|9         | 72/781 [00:03<00:37, 18.99it/s]
  9%|9         | 74/781 [00:03<00:37, 19.02it/s]
 10%|9         | 76/781 [00:04<00:36, 19.08it/s]
 10%|9         | 78/781 [00:04<00:36, 19.11it/s]
 10%|#         | 80/781 [00:04<00:36, 19.16it/s]
 10%|#         | 82/781 [00:04<00:36, 19.19it/s]
 11%|#         | 84/781 [00:04<00:36, 19.19it/s]
 11%|#1        | 86/781 [00:04<00:36, 19.15it/s]
 11%|#1        | 88/781 [00:04<00:36, 19.12it/s]
 12%|#1        | 90/781 [00:04<00:36, 19.06it/s]
 12%|#1        | 92/781 [00:04<00:36, 18.92it/s]
 12%|#2        | 94/781 [00:05<00:36, 18.84it/s]
 12%|#2        | 96/781 [00:05<00:36, 18.78it/s]
 13%|#2        | 98/781 [00:05<00:36, 18.75it/s]
 13%|#2        | 100/781 [00:05<00:36, 18.72it/s]
 13%|#3        | 102/781 [00:05<00:36, 18.73it/s]
 13%|#3        | 104/781 [00:05<00:36, 18.69it/s]
 14%|#3        | 106/781 [00:05<00:36, 18.67it/s]
 14%|#3        | 108/781 [00:05<00:36, 18.67it/s]
 14%|#4        | 110/781 [00:05<00:35, 18.64it/s]
 14%|#4        | 112/781 [00:05<00:35, 18.67it/s]
 15%|#4        | 114/781 [00:06<00:35, 18.67it/s]
 15%|#4        | 116/781 [00:06<00:35, 18.69it/s]
 15%|#5        | 118/781 [00:06<00:35, 18.69it/s]
 15%|#5        | 120/781 [00:06<00:35, 18.69it/s]
 16%|#5        | 122/781 [00:06<00:35, 18.67it/s]
 16%|#5        | 124/781 [00:06<00:35, 18.68it/s]
 16%|#6        | 126/781 [00:06<00:35, 18.66it/s]
 16%|#6        | 128/781 [00:06<00:34, 18.67it/s]
 17%|#6        | 130/781 [00:06<00:34, 18.80it/s]
 17%|#6        | 132/781 [00:07<00:34, 18.93it/s]
 17%|#7        | 134/781 [00:07<00:34, 19.02it/s]
 17%|#7        | 136/781 [00:07<00:33, 19.11it/s]
 18%|#7        | 138/781 [00:07<00:33, 19.09it/s]
 18%|#7        | 140/781 [00:07<00:33, 19.09it/s]
 18%|#8        | 142/781 [00:07<00:33, 19.09it/s]
 18%|#8        | 144/781 [00:07<00:33, 19.10it/s]
 19%|#8        | 146/781 [00:07<00:33, 19.09it/s]
 19%|#8        | 148/781 [00:07<00:33, 18.83it/s]
 19%|#9        | 150/781 [00:07<00:33, 18.72it/s]
 19%|#9        | 152/781 [00:08<00:33, 18.72it/s]
 20%|#9        | 154/781 [00:08<00:33, 18.67it/s]
 20%|#9        | 156/781 [00:08<00:33, 18.67it/s]
 20%|##        | 158/781 [00:08<00:33, 18.69it/s]
 20%|##        | 160/781 [00:08<00:33, 18.69it/s]
 21%|##        | 162/781 [00:08<00:33, 18.69it/s]
 21%|##        | 164/781 [00:08<00:32, 18.76it/s]
 21%|##1       | 166/781 [00:08<00:32, 18.85it/s]
 22%|##1       | 168/781 [00:08<00:32, 18.89it/s]
 22%|##1       | 170/781 [00:09<00:32, 18.93it/s]
 22%|##2       | 172/781 [00:09<00:32, 18.97it/s]
 22%|##2       | 174/781 [00:09<00:31, 18.98it/s]
 23%|##2       | 176/781 [00:09<00:31, 19.04it/s]
 23%|##2       | 178/781 [00:09<00:31, 19.03it/s]
 23%|##3       | 180/781 [00:09<00:31, 19.00it/s]
 23%|##3       | 182/781 [00:09<00:31, 18.99it/s]
 24%|##3       | 184/781 [00:09<00:31, 18.99it/s]
 24%|##3       | 186/781 [00:09<00:31, 19.04it/s]
 24%|##4       | 188/781 [00:09<00:31, 19.02it/s]
 24%|##4       | 190/781 [00:10<00:31, 19.00it/s]
 25%|##4       | 192/781 [00:10<00:30, 19.05it/s]
 25%|##4       | 194/781 [00:10<00:31, 18.85it/s]
 25%|##5       | 196/781 [00:10<00:30, 18.88it/s]
 25%|##5       | 198/781 [00:10<00:30, 18.87it/s]
 26%|##5       | 200/781 [00:10<00:30, 18.87it/s]
 26%|##5       | 202/781 [00:10<00:30, 18.93it/s]
 26%|##6       | 204/781 [00:10<00:30, 18.96it/s]
 26%|##6       | 206/781 [00:10<00:30, 18.98it/s]
 27%|##6       | 208/781 [00:11<00:30, 18.99it/s]
 27%|##6       | 210/781 [00:11<00:30, 18.99it/s]
 27%|##7       | 212/781 [00:11<00:29, 18.99it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.00it/s]
 28%|##7       | 216/781 [00:11<00:29, 19.01it/s]
 28%|##7       | 218/781 [00:11<00:29, 18.87it/s]
 28%|##8       | 220/781 [00:11<00:29, 18.85it/s]
 28%|##8       | 222/781 [00:11<00:29, 18.95it/s]
 29%|##8       | 224/781 [00:11<00:29, 18.89it/s]
 29%|##8       | 226/781 [00:12<00:29, 18.92it/s]
 29%|##9       | 228/781 [00:12<00:29, 18.88it/s]
 29%|##9       | 230/781 [00:12<00:29, 18.92it/s]
 30%|##9       | 232/781 [00:12<00:29, 18.93it/s]
 30%|##9       | 234/781 [00:12<00:29, 18.80it/s]
 30%|###       | 236/781 [00:12<00:28, 18.88it/s]
 30%|###       | 238/781 [00:12<00:28, 18.85it/s]
 31%|###       | 240/781 [00:12<00:29, 18.55it/s]
 31%|###       | 242/781 [00:12<00:28, 18.61it/s]
 31%|###1      | 244/781 [00:12<00:28, 18.56it/s]
 31%|###1      | 246/781 [00:13<00:29, 18.35it/s]
 32%|###1      | 248/781 [00:13<00:28, 18.41it/s]
 32%|###2      | 250/781 [00:13<00:28, 18.38it/s]
 32%|###2      | 252/781 [00:13<00:28, 18.52it/s]
 33%|###2      | 254/781 [00:13<00:28, 18.61it/s]
 33%|###2      | 256/781 [00:13<00:28, 18.65it/s]
 33%|###3      | 258/781 [00:13<00:27, 18.73it/s]
 33%|###3      | 260/781 [00:13<00:27, 18.81it/s]
 34%|###3      | 262/781 [00:13<00:27, 18.83it/s]
 34%|###3      | 264/781 [00:14<00:27, 18.87it/s]
 34%|###4      | 266/781 [00:14<00:27, 18.92it/s]
 34%|###4      | 268/781 [00:14<00:27, 18.91it/s]
 35%|###4      | 270/781 [00:14<00:27, 18.92it/s]
 35%|###4      | 272/781 [00:14<00:26, 18.89it/s]
 35%|###5      | 274/781 [00:14<00:26, 18.89it/s]
 35%|###5      | 276/781 [00:14<00:26, 18.92it/s]
 36%|###5      | 278/781 [00:14<00:26, 18.99it/s]
 36%|###5      | 280/781 [00:14<00:26, 19.04it/s]
 36%|###6      | 282/781 [00:14<00:26, 19.07it/s]
 36%|###6      | 284/781 [00:15<00:26, 19.09it/s]
 37%|###6      | 286/781 [00:15<00:25, 19.12it/s]
 37%|###6      | 288/781 [00:15<00:25, 19.11it/s]
 37%|###7      | 290/781 [00:15<00:25, 19.12it/s]
 37%|###7      | 292/781 [00:15<00:25, 19.13it/s]
 38%|###7      | 294/781 [00:15<00:25, 19.02it/s]
 38%|###7      | 296/781 [00:15<00:25, 18.93it/s]
 38%|###8      | 298/781 [00:15<00:25, 18.88it/s]
 38%|###8      | 300/781 [00:15<00:25, 18.95it/s]
 39%|###8      | 302/781 [00:16<00:25, 18.98it/s]
 39%|###8      | 304/781 [00:16<00:25, 19.01it/s]
 39%|###9      | 306/781 [00:16<00:24, 19.02it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.04it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.07it/s]
 40%|###9      | 312/781 [00:16<00:24, 19.14it/s]
 40%|####      | 314/781 [00:16<00:24, 19.12it/s]
 40%|####      | 316/781 [00:16<00:24, 19.15it/s]
 41%|####      | 318/781 [00:16<00:24, 19.17it/s]
 41%|####      | 320/781 [00:16<00:24, 19.19it/s]
 41%|####1     | 322/781 [00:17<00:23, 19.15it/s]
 41%|####1     | 324/781 [00:17<00:23, 19.13it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.11it/s]
 42%|####1     | 328/781 [00:17<00:23, 18.88it/s]
 42%|####2     | 330/781 [00:17<00:23, 18.95it/s]
 43%|####2     | 332/781 [00:17<00:23, 19.03it/s]
 43%|####2     | 334/781 [00:17<00:23, 19.09it/s]
 43%|####3     | 336/781 [00:17<00:23, 19.16it/s]
 43%|####3     | 338/781 [00:17<00:23, 19.16it/s]
 44%|####3     | 340/781 [00:18<00:23, 19.15it/s]
 44%|####3     | 342/781 [00:18<00:22, 19.15it/s]
 44%|####4     | 344/781 [00:18<00:22, 19.16it/s]
 44%|####4     | 346/781 [00:18<00:22, 18.98it/s]
 45%|####4     | 348/781 [00:18<00:22, 18.84it/s]
 45%|####4     | 350/781 [00:18<00:22, 18.85it/s]
 45%|####5     | 352/781 [00:18<00:22, 18.85it/s]
 45%|####5     | 354/781 [00:18<00:22, 18.88it/s]
 46%|####5     | 356/781 [00:18<00:22, 18.94it/s]
 46%|####5     | 358/781 [00:18<00:22, 19.00it/s]
 46%|####6     | 360/781 [00:19<00:22, 19.03it/s]
 46%|####6     | 362/781 [00:19<00:21, 19.05it/s]
 47%|####6     | 364/781 [00:19<00:21, 19.06it/s]
 47%|####6     | 366/781 [00:19<00:21, 19.08it/s]
 47%|####7     | 368/781 [00:19<00:21, 19.10it/s]
 47%|####7     | 370/781 [00:19<00:21, 19.09it/s]
 48%|####7     | 372/781 [00:19<00:21, 19.10it/s]
 48%|####7     | 374/781 [00:19<00:21, 19.14it/s]
 48%|####8     | 376/781 [00:19<00:21, 19.16it/s]
 48%|####8     | 378/781 [00:20<00:21, 19.19it/s]
 49%|####8     | 380/781 [00:20<00:20, 19.19it/s]
 49%|####8     | 382/781 [00:20<00:20, 19.17it/s]
 49%|####9     | 384/781 [00:20<00:20, 19.18it/s]
 49%|####9     | 386/781 [00:20<00:20, 19.17it/s]
 50%|####9     | 388/781 [00:20<00:20, 19.19it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.22it/s]
 50%|#####     | 392/781 [00:20<00:20, 19.16it/s]
 50%|#####     | 394/781 [00:20<00:20, 19.04it/s]
 51%|#####     | 396/781 [00:20<00:20, 19.03it/s]
 51%|#####     | 398/781 [00:21<00:20, 19.10it/s]
 51%|#####1    | 400/781 [00:21<00:19, 19.13it/s]
 51%|#####1    | 402/781 [00:21<00:19, 19.01it/s]
 52%|#####1    | 404/781 [00:21<00:19, 19.03it/s]
 52%|#####1    | 406/781 [00:21<00:19, 19.08it/s]
 52%|#####2    | 408/781 [00:21<00:19, 18.94it/s]
 52%|#####2    | 410/781 [00:21<00:19, 18.96it/s]
 53%|#####2    | 412/781 [00:21<00:19, 18.91it/s]
 53%|#####3    | 414/781 [00:21<00:19, 18.96it/s]
 53%|#####3    | 416/781 [00:22<00:19, 18.85it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.70it/s]
 54%|#####3    | 420/781 [00:22<00:19, 18.65it/s]
 54%|#####4    | 422/781 [00:22<00:19, 18.50it/s]
 54%|#####4    | 424/781 [00:22<00:19, 18.50it/s]
 55%|#####4    | 426/781 [00:22<00:19, 18.48it/s]
 55%|#####4    | 428/781 [00:22<00:19, 18.45it/s]
 55%|#####5    | 430/781 [00:22<00:18, 18.66it/s]
 55%|#####5    | 432/781 [00:22<00:18, 18.77it/s]
 56%|#####5    | 434/781 [00:22<00:18, 18.90it/s]
 56%|#####5    | 436/781 [00:23<00:18, 18.76it/s]
 56%|#####6    | 438/781 [00:23<00:18, 18.65it/s]
 56%|#####6    | 440/781 [00:23<00:18, 18.64it/s]
 57%|#####6    | 442/781 [00:23<00:18, 18.57it/s]
 57%|#####6    | 444/781 [00:23<00:18, 18.72it/s]
 57%|#####7    | 446/781 [00:23<00:17, 18.70it/s]
 57%|#####7    | 448/781 [00:23<00:17, 18.64it/s]
 58%|#####7    | 450/781 [00:23<00:17, 18.62it/s]
 58%|#####7    | 452/781 [00:23<00:17, 18.67it/s]
 58%|#####8    | 454/781 [00:24<00:17, 18.61it/s]
 58%|#####8    | 456/781 [00:24<00:17, 18.60it/s]
 59%|#####8    | 458/781 [00:24<00:17, 18.61it/s]
 59%|#####8    | 460/781 [00:24<00:17, 18.60it/s]
 59%|#####9    | 462/781 [00:24<00:17, 18.67it/s]
 59%|#####9    | 464/781 [00:24<00:16, 18.80it/s]
 60%|#####9    | 466/781 [00:24<00:16, 18.91it/s]
 60%|#####9    | 468/781 [00:24<00:16, 18.99it/s]
 60%|######    | 470/781 [00:24<00:16, 19.03it/s]
 60%|######    | 472/781 [00:25<00:16, 19.09it/s]
 61%|######    | 474/781 [00:25<00:16, 19.12it/s]
 61%|######    | 476/781 [00:25<00:15, 19.16it/s]
 61%|######1   | 478/781 [00:25<00:15, 19.13it/s]
 61%|######1   | 480/781 [00:25<00:15, 19.03it/s]
 62%|######1   | 482/781 [00:25<00:15, 18.93it/s]
 62%|######1   | 484/781 [00:25<00:15, 18.86it/s]
 62%|######2   | 486/781 [00:25<00:15, 18.78it/s]
 62%|######2   | 488/781 [00:25<00:15, 18.80it/s]
 63%|######2   | 490/781 [00:25<00:15, 18.85it/s]
 63%|######2   | 492/781 [00:26<00:15, 18.92it/s]
 63%|######3   | 494/781 [00:26<00:15, 18.94it/s]
 64%|######3   | 496/781 [00:26<00:15, 18.95it/s]
 64%|######3   | 498/781 [00:26<00:14, 19.02it/s]
 64%|######4   | 500/781 [00:26<00:14, 18.99it/s]
 64%|######4   | 502/781 [00:26<00:14, 18.88it/s]
 65%|######4   | 504/781 [00:26<00:14, 18.82it/s]
 65%|######4   | 506/781 [00:26<00:14, 18.72it/s]
 65%|######5   | 508/781 [00:26<00:14, 18.69it/s]
 65%|######5   | 510/781 [00:27<00:14, 18.65it/s]
 66%|######5   | 512/781 [00:27<00:14, 18.59it/s]
 66%|######5   | 514/781 [00:27<00:14, 18.59it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.70it/s]
 66%|######6   | 518/781 [00:27<00:13, 18.82it/s]
 67%|######6   | 520/781 [00:27<00:13, 18.84it/s]
 67%|######6   | 522/781 [00:27<00:13, 18.94it/s]
 67%|######7   | 524/781 [00:27<00:13, 18.97it/s]
 67%|######7   | 526/781 [00:27<00:13, 18.91it/s]
 68%|######7   | 528/781 [00:27<00:13, 18.79it/s]
 68%|######7   | 530/781 [00:28<00:13, 18.76it/s]
 68%|######8   | 532/781 [00:28<00:13, 18.89it/s]
 68%|######8   | 534/781 [00:28<00:13, 18.96it/s]
 69%|######8   | 536/781 [00:28<00:12, 18.88it/s]
 69%|######8   | 538/781 [00:28<00:12, 18.87it/s]
 69%|######9   | 540/781 [00:28<00:12, 18.73it/s]
 69%|######9   | 542/781 [00:28<00:12, 18.67it/s]
 70%|######9   | 544/781 [00:28<00:12, 18.63it/s]
 70%|######9   | 546/781 [00:28<00:12, 18.64it/s]
 70%|#######   | 548/781 [00:29<00:12, 18.62it/s]
 70%|#######   | 550/781 [00:29<00:12, 18.63it/s]
 71%|#######   | 552/781 [00:29<00:12, 18.62it/s]
 71%|#######   | 554/781 [00:29<00:12, 18.62it/s]
 71%|#######1  | 556/781 [00:29<00:12, 18.70it/s]
 71%|#######1  | 558/781 [00:29<00:12, 18.53it/s]
 72%|#######1  | 560/781 [00:29<00:11, 18.70it/s]
 72%|#######1  | 562/781 [00:29<00:11, 18.83it/s]
 72%|#######2  | 564/781 [00:29<00:11, 18.91it/s]
 72%|#######2  | 566/781 [00:30<00:11, 18.95it/s]
 73%|#######2  | 568/781 [00:30<00:11, 19.04it/s]
 73%|#######2  | 570/781 [00:30<00:11, 19.06it/s]
 73%|#######3  | 572/781 [00:30<00:10, 19.11it/s]
 73%|#######3  | 574/781 [00:30<00:10, 19.14it/s]
 74%|#######3  | 576/781 [00:30<00:10, 19.19it/s]
 74%|#######4  | 578/781 [00:30<00:10, 19.21it/s]
 74%|#######4  | 580/781 [00:30<00:10, 19.06it/s]
 75%|#######4  | 582/781 [00:30<00:10, 19.05it/s]
 75%|#######4  | 584/781 [00:30<00:10, 19.05it/s]
 75%|#######5  | 586/781 [00:31<00:10, 19.05it/s]
 75%|#######5  | 588/781 [00:31<00:10, 19.08it/s]
 76%|#######5  | 590/781 [00:31<00:09, 19.11it/s]
 76%|#######5  | 592/781 [00:31<00:09, 19.11it/s]
 76%|#######6  | 594/781 [00:31<00:09, 19.00it/s]
 76%|#######6  | 596/781 [00:31<00:09, 19.10it/s]
 77%|#######6  | 598/781 [00:31<00:09, 19.02it/s]
 77%|#######6  | 600/781 [00:31<00:09, 19.02it/s]
 77%|#######7  | 602/781 [00:31<00:09, 19.01it/s]
 77%|#######7  | 604/781 [00:32<00:09, 18.93it/s]
 78%|#######7  | 606/781 [00:32<00:09, 18.93it/s]
 78%|#######7  | 608/781 [00:32<00:09, 19.00it/s]
 78%|#######8  | 610/781 [00:32<00:09, 18.92it/s]
 78%|#######8  | 612/781 [00:32<00:08, 18.90it/s]
 79%|#######8  | 614/781 [00:32<00:08, 18.94it/s]
 79%|#######8  | 616/781 [00:32<00:08, 19.01it/s]
 79%|#######9  | 618/781 [00:32<00:08, 18.98it/s]
 79%|#######9  | 620/781 [00:32<00:08, 18.82it/s]
 80%|#######9  | 622/781 [00:32<00:08, 18.94it/s]
 80%|#######9  | 624/781 [00:33<00:08, 18.79it/s]
 80%|########  | 626/781 [00:33<00:08, 18.83it/s]
 80%|########  | 628/781 [00:33<00:08, 18.87it/s]
 81%|########  | 630/781 [00:33<00:07, 18.92it/s]
 81%|########  | 632/781 [00:33<00:07, 19.08it/s]
 81%|########1 | 634/781 [00:33<00:07, 19.08it/s]
 81%|########1 | 636/781 [00:33<00:07, 18.91it/s]
 82%|########1 | 638/781 [00:33<00:07, 19.09it/s]
 82%|########1 | 640/781 [00:33<00:07, 18.75it/s]
 82%|########2 | 642/781 [00:34<00:07, 18.81it/s]
 82%|########2 | 644/781 [00:34<00:07, 18.56it/s]
 83%|########2 | 646/781 [00:34<00:07, 18.54it/s]
 83%|########2 | 648/781 [00:34<00:07, 18.63it/s]
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  5%|5         | 8/157 [00:00<00:08, 16.66it/s]
  6%|6         | 10/157 [00:00<00:08, 16.67it/s]
  8%|7         | 12/157 [00:00<00:08, 17.15it/s]
  9%|8         | 14/157 [00:00<00:08, 17.45it/s]
 10%|#         | 16/157 [00:00<00:07, 17.64it/s]
 11%|#1        | 18/157 [00:01<00:07, 17.56it/s]
 13%|#2        | 20/157 [00:01<00:07, 17.62it/s]
 14%|#4        | 22/157 [00:01<00:07, 17.85it/s]
 15%|#5        | 24/157 [00:01<00:07, 17.97it/s]
 17%|#6        | 26/157 [00:01<00:07, 17.93it/s]
 18%|#7        | 28/157 [00:01<00:07, 17.97it/s]
 19%|#9        | 30/157 [00:01<00:06, 18.15it/s]
 20%|##        | 32/157 [00:01<00:06, 18.30it/s]
 22%|##1       | 34/157 [00:01<00:06, 18.32it/s]
 23%|##2       | 36/157 [00:02<00:06, 18.16it/s]
 24%|##4       | 38/157 [00:02<00:06, 18.16it/s]
 25%|##5       | 40/157 [00:02<00:06, 18.10it/s]
 27%|##6       | 42/157 [00:02<00:06, 18.00it/s]
 28%|##8       | 44/157 [00:02<00:06, 17.79it/s]
 29%|##9       | 46/157 [00:02<00:06, 18.01it/s]
 31%|###       | 48/157 [00:02<00:06, 18.03it/s]
 32%|###1      | 50/157 [00:02<00:05, 18.25it/s]
 33%|###3      | 52/157 [00:02<00:05, 18.27it/s]
 34%|###4      | 54/157 [00:03<00:05, 18.30it/s]
 36%|###5      | 56/157 [00:03<00:05, 18.39it/s]
 37%|###6      | 58/157 [00:03<00:05, 18.46it/s]
 38%|###8      | 60/157 [00:03<00:05, 18.54it/s]
 39%|###9      | 62/157 [00:03<00:05, 18.55it/s]
 41%|####      | 64/157 [00:03<00:04, 18.62it/s]
 42%|####2     | 66/157 [00:03<00:04, 18.65it/s]
 43%|####3     | 68/157 [00:03<00:04, 18.58it/s]
 45%|####4     | 70/157 [00:03<00:04, 17.95it/s]
 46%|####5     | 72/157 [00:04<00:04, 18.02it/s]
 47%|####7     | 74/157 [00:04<00:04, 18.15it/s]
 48%|####8     | 76/157 [00:04<00:04, 18.16it/s]
 50%|####9     | 78/157 [00:04<00:04, 18.21it/s]
 51%|#####     | 80/157 [00:04<00:04, 17.98it/s]
 52%|#####2    | 82/157 [00:04<00:04, 18.16it/s]
 54%|#####3    | 84/157 [00:04<00:04, 18.23it/s]
 55%|#####4    | 86/157 [00:04<00:03, 18.36it/s]
 56%|#####6    | 88/157 [00:04<00:03, 18.30it/s]
 57%|#####7    | 90/157 [00:05<00:03, 18.34it/s]
 59%|#####8    | 92/157 [00:05<00:03, 18.37it/s]
 60%|#####9    | 94/157 [00:05<00:03, 18.44it/s]
 61%|######1   | 96/157 [00:05<00:03, 18.50it/s]
 62%|######2   | 98/157 [00:05<00:03, 18.51it/s]
 64%|######3   | 100/157 [00:05<00:03, 18.52it/s]
 65%|######4   | 102/157 [00:05<00:02, 18.42it/s]
 66%|######6   | 104/157 [00:05<00:02, 18.45it/s]
 68%|######7   | 106/157 [00:05<00:02, 18.41it/s]
 69%|######8   | 108/157 [00:05<00:02, 18.53it/s]
 70%|#######   | 110/157 [00:06<00:02, 18.57it/s]
 71%|#######1  | 112/157 [00:06<00:02, 18.62it/s]
 73%|#######2  | 114/157 [00:06<00:02, 18.61it/s]
 74%|#######3  | 116/157 [00:06<00:02, 18.65it/s]
 75%|#######5  | 118/157 [00:06<00:02, 18.45it/s]
 76%|#######6  | 120/157 [00:06<00:02, 18.29it/s]
 78%|#######7  | 122/157 [00:06<00:01, 18.22it/s]
 79%|#######8  | 124/157 [00:06<00:01, 17.94it/s]
 80%|########  | 126/157 [00:06<00:01, 17.76it/s]
 82%|########1 | 128/157 [00:07<00:01, 18.01it/s]
 83%|########2 | 130/157 [00:07<00:01, 18.15it/s]
 84%|########4 | 132/157 [00:07<00:01, 18.26it/s]
 85%|########5 | 134/157 [00:07<00:01, 18.30it/s]
 87%|########6 | 136/157 [00:07<00:01, 18.33it/s]
 88%|########7 | 138/157 [00:07<00:01, 18.28it/s]
 89%|########9 | 140/157 [00:07<00:00, 18.26it/s]
 90%|######### | 142/157 [00:07<00:00, 18.33it/s]
 92%|#########1| 144/157 [00:07<00:00, 18.41it/s]
 93%|#########2| 146/157 [00:08<00:00, 18.47it/s]
 94%|#########4| 148/157 [00:08<00:00, 18.56it/s]
 96%|#########5| 150/157 [00:08<00:00, 18.56it/s]
 97%|#########6| 152/157 [00:08<00:00, 18.42it/s]
 98%|#########8| 154/157 [00:08<00:00, 18.31it/s]
 99%|#########9| 156/157 [00:08<00:00, 18.31it/s]
100%|##########| 157/157 [00:08<00:00, 18.18it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:42, 18.50it/s]
  1%|          | 4/781 [00:00<00:40, 19.03it/s]
  1%|          | 7/781 [00:00<00:38, 19.99it/s]
  1%|1         | 10/781 [00:00<00:37, 20.31it/s]
  2%|1         | 13/781 [00:00<00:38, 20.16it/s]
  2%|2         | 16/781 [00:00<00:38, 20.13it/s]
  2%|2         | 19/781 [00:00<00:39, 19.35it/s]
  3%|2         | 22/781 [00:01<00:39, 19.41it/s]
  3%|3         | 24/781 [00:01<00:39, 19.17it/s]
  3%|3         | 26/781 [00:01<00:40, 18.87it/s]
  4%|3         | 29/781 [00:01<00:38, 19.31it/s]
  4%|3         | 31/781 [00:01<00:38, 19.31it/s]
  4%|4         | 34/781 [00:01<00:37, 19.68it/s]
  5%|4         | 36/781 [00:01<00:38, 19.41it/s]
  5%|4         | 39/781 [00:01<00:37, 20.03it/s]
  5%|5         | 42/781 [00:02<00:36, 20.40it/s]
  6%|5         | 45/781 [00:02<00:35, 20.77it/s]
  6%|6         | 48/781 [00:02<00:35, 20.92it/s]
  7%|6         | 51/781 [00:02<00:35, 20.81it/s]
  7%|6         | 54/781 [00:02<00:35, 20.52it/s]
  7%|7         | 57/781 [00:02<00:35, 20.17it/s]
  8%|7         | 60/781 [00:03<00:36, 19.84it/s]
  8%|8         | 63/781 [00:03<00:35, 20.29it/s]
  8%|8         | 66/781 [00:03<00:34, 20.65it/s]
  9%|8         | 69/781 [00:03<00:34, 20.76it/s]
  9%|9         | 72/781 [00:03<00:33, 20.96it/s]
 10%|9         | 75/781 [00:03<00:33, 21.12it/s]
 10%|9         | 78/781 [00:03<00:33, 21.24it/s]
 10%|#         | 81/781 [00:04<00:33, 20.91it/s]
 11%|#         | 84/781 [00:04<00:33, 20.95it/s]
 11%|#1        | 87/781 [00:04<00:32, 21.09it/s]
 12%|#1        | 90/781 [00:04<00:32, 21.15it/s]
 12%|#1        | 93/781 [00:04<00:32, 21.12it/s]
 12%|#2        | 96/781 [00:04<00:32, 21.28it/s]
 13%|#2        | 99/781 [00:04<00:32, 21.23it/s]
 13%|#3        | 102/781 [00:04<00:31, 21.31it/s]
 13%|#3        | 105/781 [00:05<00:31, 21.18it/s]
 14%|#3        | 108/781 [00:05<00:31, 21.12it/s]
 14%|#4        | 111/781 [00:05<00:31, 21.12it/s]
 15%|#4        | 114/781 [00:05<00:31, 21.15it/s]
 15%|#4        | 117/781 [00:05<00:31, 21.32it/s]
 15%|#5        | 120/781 [00:05<00:31, 21.11it/s]
 16%|#5        | 123/781 [00:05<00:31, 21.00it/s]
 16%|#6        | 126/781 [00:06<00:31, 20.92it/s]
 17%|#6        | 129/781 [00:06<00:30, 21.04it/s]
 17%|#6        | 132/781 [00:06<00:30, 20.95it/s]
 17%|#7        | 135/781 [00:06<00:30, 20.85it/s]
 18%|#7        | 138/781 [00:06<00:31, 20.68it/s]
 18%|#8        | 141/781 [00:06<00:30, 20.89it/s]
 18%|#8        | 144/781 [00:06<00:30, 21.04it/s]
 19%|#8        | 147/781 [00:07<00:29, 21.16it/s]
 19%|#9        | 150/781 [00:07<00:29, 21.19it/s]
 20%|#9        | 153/781 [00:07<00:29, 21.27it/s]
 20%|#9        | 156/781 [00:07<00:29, 21.38it/s]
 20%|##        | 159/781 [00:07<00:29, 21.45it/s]
 21%|##        | 162/781 [00:07<00:28, 21.49it/s]
 21%|##1       | 165/781 [00:07<00:28, 21.36it/s]
 22%|##1       | 168/781 [00:08<00:28, 21.31it/s]
 22%|##1       | 171/781 [00:08<00:28, 21.26it/s]
 22%|##2       | 174/781 [00:08<00:28, 21.27it/s]
 23%|##2       | 177/781 [00:08<00:28, 21.29it/s]
 23%|##3       | 180/781 [00:08<00:28, 21.09it/s]
 23%|##3       | 183/781 [00:08<00:28, 20.97it/s]
 24%|##3       | 186/781 [00:08<00:28, 21.09it/s]
 24%|##4       | 189/781 [00:09<00:27, 21.20it/s]
 25%|##4       | 192/781 [00:09<00:27, 21.34it/s]
 25%|##4       | 195/781 [00:09<00:27, 21.38it/s]
 25%|##5       | 198/781 [00:09<00:27, 21.35it/s]
 26%|##5       | 201/781 [00:09<00:27, 21.35it/s]
 26%|##6       | 204/781 [00:09<00:26, 21.41it/s]
 27%|##6       | 207/781 [00:09<00:26, 21.39it/s]
 27%|##6       | 210/781 [00:10<00:26, 21.43it/s]
 27%|##7       | 213/781 [00:10<00:26, 21.36it/s]
 28%|##7       | 216/781 [00:10<00:26, 21.09it/s]
 28%|##8       | 219/781 [00:10<00:26, 20.87it/s]
 28%|##8       | 222/781 [00:10<00:26, 20.79it/s]
 29%|##8       | 225/781 [00:10<00:26, 20.77it/s]
 29%|##9       | 228/781 [00:10<00:26, 20.73it/s]
 30%|##9       | 231/781 [00:11<00:26, 20.79it/s]
 30%|##9       | 234/781 [00:11<00:26, 20.78it/s]
 30%|###       | 237/781 [00:11<00:26, 20.67it/s]
 31%|###       | 240/781 [00:11<00:26, 20.77it/s]
 31%|###1      | 243/781 [00:11<00:25, 20.75it/s]
 31%|###1      | 246/781 [00:11<00:25, 20.67it/s]
 32%|###1      | 249/781 [00:11<00:25, 20.83it/s]
 32%|###2      | 252/781 [00:12<00:25, 20.68it/s]
 33%|###2      | 255/781 [00:12<00:26, 19.57it/s]
 33%|###2      | 257/781 [00:12<00:27, 19.15it/s]
 33%|###3      | 259/781 [00:12<00:28, 18.44it/s]
 33%|###3      | 261/781 [00:12<00:28, 18.19it/s]
 34%|###3      | 263/781 [00:12<00:29, 17.78it/s]
 34%|###3      | 265/781 [00:12<00:29, 17.68it/s]
 34%|###4      | 267/781 [00:12<00:28, 17.75it/s]
 34%|###4      | 269/781 [00:13<00:28, 17.78it/s]
 35%|###4      | 271/781 [00:13<00:28, 17.80it/s]
 35%|###4      | 273/781 [00:13<00:28, 17.59it/s]
 35%|###5      | 275/781 [00:13<00:27, 18.18it/s]
 35%|###5      | 277/781 [00:13<00:27, 18.53it/s]
 36%|###5      | 279/781 [00:13<00:27, 18.33it/s]
 36%|###5      | 281/781 [00:13<00:26, 18.63it/s]
 36%|###6      | 283/781 [00:13<00:26, 18.69it/s]
 36%|###6      | 285/781 [00:13<00:26, 18.49it/s]
 37%|###6      | 287/781 [00:14<00:26, 18.54it/s]
 37%|###7      | 289/781 [00:14<00:26, 18.36it/s]
 37%|###7      | 291/781 [00:14<00:26, 18.34it/s]
 38%|###7      | 293/781 [00:14<00:26, 18.51it/s]
 38%|###7      | 295/781 [00:14<00:26, 18.59it/s]
 38%|###8      | 297/781 [00:14<00:26, 18.60it/s]
 38%|###8      | 299/781 [00:14<00:25, 18.66it/s]
 39%|###8      | 301/781 [00:14<00:25, 18.86it/s]
 39%|###8      | 303/781 [00:14<00:24, 19.15it/s]
 39%|###9      | 305/781 [00:15<00:24, 19.06it/s]
 39%|###9      | 307/781 [00:15<00:25, 18.78it/s]
 40%|###9      | 309/781 [00:15<00:25, 18.64it/s]
 40%|###9      | 311/781 [00:15<00:25, 18.44it/s]
 40%|####      | 313/781 [00:15<00:25, 18.22it/s]
 40%|####      | 315/781 [00:15<00:25, 18.20it/s]
 41%|####      | 317/781 [00:15<00:25, 17.92it/s]
 41%|####      | 319/781 [00:15<00:25, 17.92it/s]
 41%|####1     | 321/781 [00:15<00:26, 17.37it/s]
 41%|####1     | 323/781 [00:16<00:25, 17.63it/s]
 42%|####1     | 325/781 [00:16<00:25, 17.72it/s]
 42%|####1     | 327/781 [00:16<00:25, 17.76it/s]
 42%|####2     | 329/781 [00:16<00:25, 17.82it/s]
 42%|####2     | 331/781 [00:16<00:25, 17.73it/s]
 43%|####2     | 333/781 [00:16<00:25, 17.80it/s]
 43%|####2     | 335/781 [00:16<00:25, 17.83it/s]
 43%|####3     | 337/781 [00:16<00:25, 17.75it/s]
 43%|####3     | 339/781 [00:16<00:24, 17.85it/s]
 44%|####3     | 341/781 [00:17<00:42, 10.27it/s]
 44%|####3     | 343/781 [00:17<00:37, 11.77it/s]
 44%|####4     | 345/781 [00:17<00:33, 13.13it/s]
 44%|####4     | 347/781 [00:17<00:30, 14.34it/s]
 45%|####4     | 349/781 [00:17<00:28, 15.33it/s]
 45%|####4     | 351/781 [00:17<00:26, 16.11it/s]
 45%|####5     | 353/781 [00:17<00:25, 16.52it/s]
 45%|####5     | 355/781 [00:18<00:25, 16.99it/s]
 46%|####5     | 357/781 [00:18<00:24, 17.34it/s]
 46%|####5     | 359/781 [00:18<00:23, 17.59it/s]
 46%|####6     | 361/781 [00:18<00:23, 17.54it/s]
 46%|####6     | 363/781 [00:18<00:23, 17.77it/s]
 47%|####6     | 365/781 [00:18<00:23, 17.98it/s]
 47%|####6     | 367/781 [00:18<00:22, 18.05it/s]
 47%|####7     | 369/781 [00:18<00:22, 18.14it/s]
 48%|####7     | 371/781 [00:18<00:22, 18.11it/s]
 48%|####7     | 373/781 [00:19<00:22, 18.18it/s]
 48%|####8     | 375/781 [00:19<00:22, 18.22it/s]
 48%|####8     | 377/781 [00:19<00:22, 18.15it/s]
 49%|####8     | 379/781 [00:19<00:22, 18.11it/s]
 49%|####8     | 381/781 [00:19<00:22, 18.13it/s]
 49%|####9     | 383/781 [00:19<00:21, 18.13it/s]
 49%|####9     | 385/781 [00:19<00:21, 18.19it/s]
 50%|####9     | 387/781 [00:19<00:21, 18.16it/s]
 50%|####9     | 389/781 [00:19<00:21, 17.92it/s]
 50%|#####     | 391/781 [00:20<00:21, 18.04it/s]
 50%|#####     | 393/781 [00:20<00:21, 17.80it/s]
 51%|#####     | 395/781 [00:20<00:21, 17.64it/s]
 51%|#####     | 397/781 [00:20<00:21, 17.63it/s]
 51%|#####1    | 399/781 [00:20<00:21, 17.70it/s]
 51%|#####1    | 401/781 [00:20<00:21, 17.81it/s]
 52%|#####1    | 403/781 [00:20<00:21, 17.68it/s]
 52%|#####1    | 405/781 [00:20<00:21, 17.80it/s]
 52%|#####2    | 407/781 [00:20<00:20, 17.88it/s]
 52%|#####2    | 409/781 [00:21<00:20, 17.87it/s]
 53%|#####2    | 411/781 [00:21<00:20, 17.97it/s]
 53%|#####2    | 413/781 [00:21<00:20, 17.95it/s]
 53%|#####3    | 415/781 [00:21<00:20, 18.22it/s]
 53%|#####3    | 417/781 [00:21<00:19, 18.43it/s]
 54%|#####3    | 419/781 [00:21<00:19, 18.80it/s]
 54%|#####3    | 421/781 [00:21<00:19, 18.85it/s]
 54%|#####4    | 423/781 [00:21<00:18, 19.11it/s]
 54%|#####4    | 425/781 [00:21<00:18, 19.28it/s]
 55%|#####4    | 428/781 [00:22<00:17, 19.74it/s]
 55%|#####5    | 431/781 [00:22<00:17, 20.24it/s]
 56%|#####5    | 434/781 [00:22<00:16, 20.55it/s]
 56%|#####5    | 437/781 [00:22<00:16, 20.86it/s]
 56%|#####6    | 440/781 [00:22<00:16, 20.84it/s]
 57%|#####6    | 443/781 [00:22<00:16, 21.06it/s]
 57%|#####7    | 446/781 [00:22<00:15, 21.23it/s]
 57%|#####7    | 449/781 [00:23<00:15, 21.32it/s]
 58%|#####7    | 452/781 [00:23<00:15, 21.21it/s]
 58%|#####8    | 455/781 [00:23<00:15, 21.19it/s]
 59%|#####8    | 458/781 [00:23<00:15, 21.26it/s]
 59%|#####9    | 461/781 [00:23<00:15, 21.22it/s]
 59%|#####9    | 464/781 [00:23<00:15, 21.02it/s]
 60%|#####9    | 467/781 [00:23<00:14, 21.14it/s]
 60%|######    | 470/781 [00:24<00:14, 21.21it/s]
 61%|######    | 473/781 [00:24<00:14, 21.35it/s]
 61%|######    | 476/781 [00:24<00:14, 21.42it/s]
 61%|######1   | 479/781 [00:24<00:14, 21.04it/s]
 62%|######1   | 482/781 [00:24<00:14, 20.94it/s]
 62%|######2   | 485/781 [00:24<00:14, 20.76it/s]
 62%|######2   | 488/781 [00:24<00:13, 20.94it/s]
 63%|######2   | 491/781 [00:25<00:13, 21.07it/s]
 63%|######3   | 494/781 [00:25<00:13, 21.16it/s]
 64%|######3   | 497/781 [00:25<00:13, 21.11it/s]
 64%|######4   | 500/781 [00:25<00:13, 20.86it/s]
 64%|######4   | 503/781 [00:25<00:13, 20.98it/s]
 65%|######4   | 506/781 [00:25<00:13, 21.02it/s]
 65%|######5   | 509/781 [00:25<00:12, 21.22it/s]
 66%|######5   | 512/781 [00:26<00:12, 20.85it/s]
 66%|######5   | 515/781 [00:26<00:12, 21.03it/s]
 66%|######6   | 518/781 [00:26<00:12, 21.02it/s]
 67%|######6   | 521/781 [00:26<00:12, 21.12it/s]
 67%|######7   | 524/781 [00:26<00:12, 20.88it/s]
 67%|######7   | 527/781 [00:26<00:12, 20.97it/s]
 68%|######7   | 530/781 [00:26<00:12, 20.75it/s]
 68%|######8   | 533/781 [00:27<00:11, 20.85it/s]
 69%|######8   | 536/781 [00:27<00:11, 21.00it/s]
 69%|######9   | 539/781 [00:27<00:11, 20.87it/s]
 69%|######9   | 542/781 [00:27<00:11, 20.66it/s]
 70%|######9   | 545/781 [00:27<00:11, 20.35it/s]
 70%|#######   | 548/781 [00:27<00:11, 19.75it/s]
 70%|#######   | 550/781 [00:27<00:11, 19.54it/s]
 71%|#######   | 552/781 [00:28<00:11, 19.52it/s]
 71%|#######   | 554/781 [00:28<00:11, 19.25it/s]
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Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.21s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.02s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.02s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:11<00:00, 11.07s/it]
100%|##########| 1/1 [00:11<00:00, 11.07s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:10, 14.19it/s]
  3%|2         | 4/157 [00:00<00:10, 15.24it/s]
  4%|3         | 6/157 [00:00<00:09, 15.92it/s]
  5%|5         | 8/157 [00:00<00:09, 15.86it/s]
  6%|6         | 10/157 [00:00<00:09, 15.86it/s]
  8%|7         | 12/157 [00:00<00:08, 16.14it/s]
  9%|8         | 14/157 [00:00<00:08, 16.02it/s]
 10%|#         | 16/157 [00:01<00:08, 15.72it/s]
 11%|#1        | 18/157 [00:01<00:08, 15.97it/s]
 13%|#2        | 20/157 [00:01<00:08, 16.13it/s]
 14%|#4        | 22/157 [00:01<00:08, 16.33it/s]
 15%|#5        | 24/157 [00:01<00:08, 16.52it/s]
 17%|#6        | 26/157 [00:01<00:07, 16.58it/s]
 18%|#7        | 28/157 [00:01<00:07, 16.62it/s]
 19%|#9        | 30/157 [00:01<00:07, 16.53it/s]
 20%|##        | 32/157 [00:01<00:07, 16.51it/s]
 22%|##1       | 34/157 [00:02<00:07, 16.57it/s]
 23%|##2       | 36/157 [00:02<00:07, 16.76it/s]
 24%|##4       | 38/157 [00:02<00:07, 16.91it/s]
 25%|##5       | 40/157 [00:02<00:06, 17.02it/s]
 27%|##6       | 42/157 [00:02<00:06, 17.06it/s]
 28%|##8       | 44/157 [00:02<00:06, 16.90it/s]
 29%|##9       | 46/157 [00:02<00:06, 16.73it/s]
 31%|###       | 48/157 [00:02<00:06, 16.75it/s]
 32%|###1      | 50/157 [00:03<00:06, 16.77it/s]
 33%|###3      | 52/157 [00:03<00:06, 16.89it/s]
 34%|###4      | 54/157 [00:03<00:06, 16.93it/s]
 36%|###5      | 56/157 [00:03<00:05, 16.95it/s]
 37%|###6      | 58/157 [00:03<00:05, 16.97it/s]
 38%|###8      | 60/157 [00:03<00:05, 16.97it/s]
 39%|###9      | 62/157 [00:03<00:05, 16.98it/s]
 41%|####      | 64/157 [00:03<00:05, 17.02it/s]
 42%|####2     | 66/157 [00:03<00:05, 17.07it/s]
 43%|####3     | 68/157 [00:04<00:05, 17.10it/s]
 45%|####4     | 70/157 [00:04<00:05, 17.11it/s]
 46%|####5     | 72/157 [00:04<00:04, 17.08it/s]
 47%|####7     | 74/157 [00:04<00:04, 17.09it/s]
 48%|####8     | 76/157 [00:04<00:04, 17.10it/s]
 50%|####9     | 78/157 [00:04<00:04, 17.05it/s]
 51%|#####     | 80/157 [00:04<00:04, 17.04it/s]
 52%|#####2    | 82/157 [00:04<00:04, 17.04it/s]
 54%|#####3    | 84/157 [00:05<00:04, 17.07it/s]
 55%|#####4    | 86/157 [00:05<00:04, 17.09it/s]
 56%|#####6    | 88/157 [00:05<00:04, 17.09it/s]
 57%|#####7    | 90/157 [00:05<00:03, 17.10it/s]
 59%|#####8    | 92/157 [00:05<00:03, 17.11it/s]
 60%|#####9    | 94/157 [00:05<00:03, 17.01it/s]
 61%|######1   | 96/157 [00:05<00:03, 16.81it/s]
 62%|######2   | 98/157 [00:05<00:03, 16.77it/s]
 64%|######3   | 100/157 [00:05<00:03, 16.68it/s]
 65%|######4   | 102/157 [00:06<00:03, 16.73it/s]
 66%|######6   | 104/157 [00:06<00:03, 16.84it/s]
 68%|######7   | 106/157 [00:06<00:03, 16.78it/s]
 69%|######8   | 108/157 [00:06<00:02, 16.83it/s]
 70%|#######   | 110/157 [00:06<00:02, 16.84it/s]
 71%|#######1  | 112/157 [00:06<00:02, 16.94it/s]
 73%|#######2  | 114/157 [00:06<00:02, 17.00it/s]
 74%|#######3  | 116/157 [00:06<00:02, 16.84it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.78it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.67it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.79it/s]
 79%|#######8  | 124/157 [00:07<00:01, 16.84it/s]
 80%|########  | 126/157 [00:07<00:01, 16.64it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.63it/s]
 83%|########2 | 130/157 [00:07<00:01, 16.69it/s]
 84%|########4 | 132/157 [00:07<00:01, 16.53it/s]
 85%|########5 | 134/157 [00:08<00:01, 16.69it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.49it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.63it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.75it/s]
 90%|######### | 142/157 [00:08<00:00, 16.74it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.79it/s]
 93%|#########2| 146/157 [00:08<00:00, 16.90it/s]
 94%|#########4| 148/157 [00:08<00:00, 16.97it/s]
 96%|#########5| 150/157 [00:08<00:00, 16.88it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.80it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.75it/s]
 99%|#########9| 156/157 [00:09<00:00, 16.44it/s]
100%|##########| 157/157 [00:09<00:00, 16.77it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:47, 16.46it/s]
  1%|          | 4/781 [00:00<00:44, 17.42it/s]
  1%|          | 6/781 [00:00<00:43, 17.71it/s]
  1%|1         | 8/781 [00:00<00:43, 17.88it/s]
  1%|1         | 10/781 [00:00<00:42, 18.31it/s]
  2%|1         | 12/781 [00:00<00:41, 18.54it/s]
  2%|1         | 14/781 [00:00<00:40, 18.87it/s]
  2%|2         | 16/781 [00:00<00:40, 18.70it/s]
  2%|2         | 18/781 [00:00<00:40, 18.78it/s]
  3%|2         | 20/781 [00:01<00:40, 18.76it/s]
  3%|2         | 22/781 [00:01<00:40, 18.77it/s]
  3%|3         | 24/781 [00:01<00:39, 18.94it/s]
  3%|3         | 26/781 [00:01<00:39, 18.98it/s]
  4%|3         | 28/781 [00:01<00:39, 19.00it/s]
  4%|3         | 30/781 [00:01<00:39, 19.17it/s]
  4%|4         | 32/781 [00:01<00:39, 19.16it/s]
  4%|4         | 34/781 [00:01<00:38, 19.25it/s]
  5%|4         | 36/781 [00:01<00:38, 19.16it/s]
  5%|4         | 38/781 [00:02<00:38, 19.10it/s]
  5%|5         | 40/781 [00:02<00:38, 19.13it/s]
  5%|5         | 42/781 [00:02<00:38, 19.09it/s]
  6%|5         | 44/781 [00:02<00:38, 19.02it/s]
  6%|5         | 46/781 [00:02<00:38, 19.09it/s]
  6%|6         | 48/781 [00:02<00:38, 19.15it/s]
  6%|6         | 50/781 [00:02<00:38, 19.11it/s]
  7%|6         | 52/781 [00:02<00:38, 18.96it/s]
  7%|6         | 54/781 [00:02<00:38, 19.00it/s]
  7%|7         | 56/781 [00:02<00:37, 19.08it/s]
  7%|7         | 58/781 [00:03<00:37, 19.22it/s]
  8%|7         | 60/781 [00:03<00:37, 19.33it/s]
  8%|7         | 62/781 [00:03<00:36, 19.44it/s]
  8%|8         | 64/781 [00:03<00:37, 19.29it/s]
  8%|8         | 66/781 [00:03<00:37, 19.31it/s]
  9%|8         | 68/781 [00:03<00:37, 19.26it/s]
  9%|8         | 70/781 [00:03<00:36, 19.38it/s]
  9%|9         | 72/781 [00:03<00:36, 19.35it/s]
  9%|9         | 74/781 [00:03<00:36, 19.28it/s]
 10%|9         | 76/781 [00:04<00:36, 19.27it/s]
 10%|9         | 78/781 [00:04<00:36, 19.39it/s]
 10%|#         | 80/781 [00:04<00:36, 19.44it/s]
 10%|#         | 82/781 [00:04<00:36, 19.29it/s]
 11%|#         | 84/781 [00:04<00:35, 19.40it/s]
 11%|#1        | 86/781 [00:04<00:36, 19.29it/s]
 11%|#1        | 88/781 [00:04<00:36, 19.15it/s]
 12%|#1        | 90/781 [00:04<00:36, 19.04it/s]
 12%|#1        | 92/781 [00:04<00:36, 19.06it/s]
 12%|#2        | 94/781 [00:04<00:35, 19.21it/s]
 12%|#2        | 96/781 [00:05<00:35, 19.16it/s]
 13%|#2        | 98/781 [00:05<00:35, 19.25it/s]
 13%|#2        | 100/781 [00:05<00:35, 19.19it/s]
 13%|#3        | 102/781 [00:05<00:35, 19.24it/s]
 13%|#3        | 104/781 [00:05<00:35, 19.32it/s]
 14%|#3        | 106/781 [00:05<00:34, 19.45it/s]
 14%|#3        | 108/781 [00:05<00:34, 19.58it/s]
 14%|#4        | 110/781 [00:05<00:34, 19.67it/s]
 14%|#4        | 112/781 [00:05<00:34, 19.53it/s]
 15%|#4        | 114/781 [00:05<00:34, 19.50it/s]
 15%|#4        | 116/781 [00:06<00:34, 19.54it/s]
 15%|#5        | 118/781 [00:06<00:33, 19.53it/s]
 15%|#5        | 120/781 [00:06<00:33, 19.48it/s]
 16%|#5        | 122/781 [00:06<00:33, 19.48it/s]
 16%|#5        | 124/781 [00:06<00:33, 19.48it/s]
 16%|#6        | 126/781 [00:06<00:33, 19.48it/s]
 16%|#6        | 128/781 [00:06<00:33, 19.39it/s]
 17%|#6        | 130/781 [00:06<00:33, 19.27it/s]
 17%|#6        | 132/781 [00:06<00:33, 19.28it/s]
 17%|#7        | 134/781 [00:07<00:33, 19.23it/s]
 17%|#7        | 136/781 [00:07<00:33, 19.13it/s]
 18%|#7        | 138/781 [00:07<00:33, 19.03it/s]
 18%|#7        | 140/781 [00:07<00:33, 19.03it/s]
 18%|#8        | 142/781 [00:07<00:33, 19.08it/s]
 18%|#8        | 144/781 [00:07<00:33, 19.22it/s]
 19%|#8        | 146/781 [00:07<00:32, 19.41it/s]
 19%|#9        | 149/781 [00:07<00:32, 19.65it/s]
 19%|#9        | 152/781 [00:07<00:31, 19.77it/s]
 20%|#9        | 154/781 [00:08<00:31, 19.72it/s]
 20%|#9        | 156/781 [00:08<00:32, 19.36it/s]
 20%|##        | 158/781 [00:08<00:32, 19.21it/s]
 20%|##        | 160/781 [00:08<00:32, 19.19it/s]
 21%|##        | 162/781 [00:08<00:32, 19.22it/s]
 21%|##        | 164/781 [00:08<00:32, 19.20it/s]
 21%|##1       | 166/781 [00:08<00:32, 19.16it/s]
 22%|##1       | 168/781 [00:08<00:31, 19.19it/s]
 22%|##1       | 170/781 [00:08<00:31, 19.21it/s]
 22%|##2       | 172/781 [00:08<00:31, 19.25it/s]
 22%|##2       | 174/781 [00:09<00:31, 19.27it/s]
 23%|##2       | 176/781 [00:09<00:31, 19.29it/s]
 23%|##2       | 178/781 [00:09<00:31, 19.36it/s]
 23%|##3       | 180/781 [00:09<00:30, 19.47it/s]
 23%|##3       | 182/781 [00:09<00:30, 19.49it/s]
 24%|##3       | 184/781 [00:09<00:30, 19.49it/s]
 24%|##3       | 186/781 [00:09<00:30, 19.51it/s]
 24%|##4       | 188/781 [00:09<00:30, 19.37it/s]
 24%|##4       | 190/781 [00:09<00:30, 19.29it/s]
 25%|##4       | 192/781 [00:10<00:30, 19.11it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.02it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.03it/s]
 25%|##5       | 198/781 [00:10<00:31, 18.75it/s]
 26%|##5       | 200/781 [00:10<00:31, 18.60it/s]
 26%|##5       | 202/781 [00:10<00:31, 18.53it/s]
 26%|##6       | 204/781 [00:10<00:30, 18.61it/s]
 26%|##6       | 206/781 [00:10<00:31, 18.16it/s]
 27%|##6       | 208/781 [00:10<00:31, 18.07it/s]
 27%|##6       | 210/781 [00:10<00:32, 17.69it/s]
 27%|##7       | 212/781 [00:11<00:32, 17.69it/s]
 27%|##7       | 214/781 [00:11<00:31, 17.75it/s]
 28%|##7       | 216/781 [00:11<00:31, 17.73it/s]
 28%|##7       | 218/781 [00:11<00:31, 18.07it/s]
 28%|##8       | 220/781 [00:11<00:30, 18.16it/s]
 28%|##8       | 222/781 [00:11<00:30, 18.40it/s]
 29%|##8       | 224/781 [00:11<00:30, 18.43it/s]
 29%|##8       | 226/781 [00:11<00:30, 18.20it/s]
 29%|##9       | 228/781 [00:11<00:30, 18.35it/s]
 29%|##9       | 230/781 [00:12<00:30, 17.98it/s]
 30%|##9       | 232/781 [00:12<00:29, 18.37it/s]
 30%|##9       | 234/781 [00:12<00:29, 18.41it/s]
 30%|###       | 236/781 [00:12<00:29, 18.56it/s]
 30%|###       | 238/781 [00:12<00:29, 18.61it/s]
 31%|###       | 240/781 [00:12<00:29, 18.58it/s]
 31%|###       | 242/781 [00:12<00:28, 18.71it/s]
 31%|###1      | 244/781 [00:12<00:28, 18.81it/s]
 31%|###1      | 246/781 [00:12<00:28, 18.87it/s]
 32%|###1      | 248/781 [00:13<00:28, 18.91it/s]
 32%|###2      | 250/781 [00:13<00:28, 18.93it/s]
 32%|###2      | 252/781 [00:13<00:28, 18.69it/s]
 33%|###2      | 254/781 [00:13<00:28, 18.62it/s]
 33%|###2      | 256/781 [00:13<00:28, 18.56it/s]
 33%|###3      | 258/781 [00:13<00:28, 18.62it/s]
 33%|###3      | 260/781 [00:13<00:27, 18.66it/s]
 34%|###3      | 262/781 [00:13<00:27, 18.74it/s]
 34%|###3      | 264/781 [00:13<00:27, 18.61it/s]
 34%|###4      | 266/781 [00:14<00:27, 18.52it/s]
 34%|###4      | 268/781 [00:14<00:27, 18.52it/s]
 35%|###4      | 270/781 [00:14<00:27, 18.41it/s]
 35%|###4      | 272/781 [00:14<00:27, 18.53it/s]
 35%|###5      | 274/781 [00:14<00:27, 18.54it/s]
 35%|###5      | 276/781 [00:14<00:27, 18.65it/s]
 36%|###5      | 278/781 [00:14<00:26, 18.79it/s]
 36%|###5      | 280/781 [00:14<00:26, 19.02it/s]
 36%|###6      | 282/781 [00:14<00:26, 19.18it/s]
 36%|###6      | 284/781 [00:14<00:25, 19.19it/s]
 37%|###6      | 286/781 [00:15<00:25, 19.12it/s]
 37%|###6      | 288/781 [00:15<00:25, 19.16it/s]
 37%|###7      | 290/781 [00:15<00:25, 19.08it/s]
 37%|###7      | 292/781 [00:15<00:25, 19.23it/s]
 38%|###7      | 294/781 [00:15<00:25, 19.21it/s]
 38%|###7      | 296/781 [00:15<00:25, 19.18it/s]
 38%|###8      | 298/781 [00:15<00:25, 19.30it/s]
 38%|###8      | 300/781 [00:15<00:25, 19.21it/s]
 39%|###8      | 302/781 [00:15<00:24, 19.18it/s]
 39%|###8      | 304/781 [00:16<00:24, 19.24it/s]
 39%|###9      | 306/781 [00:16<00:24, 19.40it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.40it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.39it/s]
 40%|###9      | 312/781 [00:16<00:24, 19.16it/s]
 40%|####      | 314/781 [00:16<00:24, 19.20it/s]
 40%|####      | 316/781 [00:16<00:24, 19.28it/s]
 41%|####      | 318/781 [00:16<00:24, 19.12it/s]
 41%|####      | 320/781 [00:16<00:24, 19.10it/s]
 41%|####1     | 322/781 [00:16<00:23, 19.25it/s]
 41%|####1     | 324/781 [00:17<00:23, 19.30it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.36it/s]
 42%|####1     | 328/781 [00:17<00:23, 19.25it/s]
 42%|####2     | 330/781 [00:17<00:23, 19.19it/s]
 43%|####2     | 332/781 [00:17<00:23, 19.33it/s]
 43%|####2     | 334/781 [00:17<00:23, 19.05it/s]
 43%|####3     | 336/781 [00:17<00:23, 19.02it/s]
 43%|####3     | 338/781 [00:17<00:23, 19.01it/s]
 44%|####3     | 340/781 [00:17<00:23, 19.03it/s]
 44%|####3     | 342/781 [00:17<00:23, 19.06it/s]
 44%|####4     | 344/781 [00:18<00:22, 19.00it/s]
 44%|####4     | 346/781 [00:18<00:22, 19.07it/s]
 45%|####4     | 348/781 [00:18<00:22, 19.00it/s]
 45%|####4     | 350/781 [00:18<00:22, 18.91it/s]
 45%|####5     | 352/781 [00:18<00:22, 19.12it/s]
 45%|####5     | 354/781 [00:18<00:22, 19.28it/s]
 46%|####5     | 356/781 [00:18<00:21, 19.32it/s]
 46%|####5     | 358/781 [00:18<00:22, 19.18it/s]
 46%|####6     | 360/781 [00:18<00:21, 19.20it/s]
 46%|####6     | 362/781 [00:19<00:21, 19.31it/s]
 47%|####6     | 364/781 [00:19<00:21, 19.44it/s]
 47%|####6     | 366/781 [00:19<00:21, 19.43it/s]
 47%|####7     | 368/781 [00:19<00:21, 19.25it/s]
 47%|####7     | 370/781 [00:19<00:21, 19.07it/s]
 48%|####7     | 372/781 [00:19<00:21, 18.96it/s]
 48%|####7     | 374/781 [00:19<00:21, 19.13it/s]
 48%|####8     | 376/781 [00:19<00:21, 19.07it/s]
 48%|####8     | 378/781 [00:19<00:21, 19.13it/s]
 49%|####8     | 380/781 [00:19<00:20, 19.30it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.94it/s]
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 50%|####9     | 388/781 [00:20<00:21, 18.50it/s]
 50%|####9     | 390/781 [00:20<00:21, 18.61it/s]
 50%|#####     | 392/781 [00:20<00:20, 18.82it/s]
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100%|#########9| 780/781 [00:41<00:00, 18.47it/s]
100%|##########| 781/781 [00:41<00:00, 18.95it/s]




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Validation Progress:  41%|####      | 18/44 [00:18<00:29,  1.14s/it]
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Validation Progress:  57%|#####6    | 25/44 [00:26<00:21,  1.14s/it]
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Validation Progress:  59%|#####9    | 26/44 [00:27<00:20,  1.13s/it]
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Validation Progress:  61%|######1   | 27/44 [00:29<00:19,  1.14s/it]
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Validation Progress:  64%|######3   | 28/44 [00:30<00:18,  1.13s/it]
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Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.10s/it]
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Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
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Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.13s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
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Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
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Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
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Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.18s/it]
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Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.16s/it]
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Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.16s/it]
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Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
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Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.21s/it]
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Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.16s/it]
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Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
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Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.18s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
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Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.17s/it]
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Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.18s/it]
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Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.09s/it]
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Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.00it/s]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

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 20%|#9        | 154/781 [00:09<00:35, 17.76it/s]
 20%|#9        | 156/781 [00:09<00:34, 17.90it/s]
 20%|##        | 158/781 [00:09<00:35, 17.71it/s]
 20%|##        | 160/781 [00:09<00:34, 17.78it/s]
 21%|##        | 162/781 [00:09<00:35, 17.64it/s]
 21%|##        | 164/781 [00:09<00:34, 17.74it/s]
 21%|##1       | 166/781 [00:09<00:34, 17.89it/s]
 22%|##1       | 168/781 [00:09<00:34, 17.66it/s]
 22%|##1       | 170/781 [00:09<00:34, 17.81it/s]
 22%|##2       | 172/781 [00:10<00:34, 17.85it/s]
 22%|##2       | 174/781 [00:10<00:33, 17.89it/s]
 23%|##2       | 176/781 [00:10<00:33, 18.02it/s]
 23%|##2       | 178/781 [00:10<00:33, 17.98it/s]
 23%|##3       | 180/781 [00:10<00:33, 18.05it/s]
 23%|##3       | 182/781 [00:10<00:33, 18.14it/s]
 24%|##3       | 184/781 [00:10<00:32, 18.18it/s]
 24%|##3       | 186/781 [00:10<00:33, 17.61it/s]
 24%|##4       | 188/781 [00:10<00:34, 17.41it/s]
 24%|##4       | 190/781 [00:11<00:33, 17.63it/s]
 25%|##4       | 192/781 [00:11<00:33, 17.71it/s]
 25%|##4       | 194/781 [00:11<00:32, 17.90it/s]
 25%|##5       | 196/781 [00:11<00:32, 18.01it/s]
 25%|##5       | 198/781 [00:11<00:32, 17.93it/s]
 26%|##5       | 200/781 [00:11<00:32, 18.05it/s]
 26%|##5       | 202/781 [00:11<00:32, 17.77it/s]
 26%|##6       | 204/781 [00:11<00:32, 17.87it/s]
 26%|##6       | 206/781 [00:11<00:32, 17.91it/s]
 27%|##6       | 208/781 [00:12<00:32, 17.84it/s]
 27%|##6       | 210/781 [00:12<00:32, 17.78it/s]
 27%|##7       | 212/781 [00:12<00:31, 17.79it/s]
 27%|##7       | 214/781 [00:12<00:31, 17.77it/s]
 28%|##7       | 216/781 [00:12<00:31, 17.76it/s]
 28%|##7       | 218/781 [00:12<00:31, 17.86it/s]
 28%|##8       | 220/781 [00:12<00:31, 17.75it/s]
 28%|##8       | 222/781 [00:12<00:31, 17.87it/s]
 29%|##8       | 224/781 [00:12<00:30, 18.00it/s]
 29%|##8       | 226/781 [00:13<00:30, 18.08it/s]
 29%|##9       | 228/781 [00:13<00:30, 18.17it/s]
 29%|##9       | 230/781 [00:13<00:30, 18.15it/s]
 30%|##9       | 232/781 [00:13<00:30, 18.14it/s]
 30%|##9       | 234/781 [00:13<00:30, 18.03it/s]
 30%|###       | 236/781 [00:13<00:30, 17.95it/s]
 30%|###       | 238/781 [00:13<00:30, 18.02it/s]
 31%|###       | 240/781 [00:13<00:30, 18.03it/s]
 31%|###       | 242/781 [00:13<00:29, 18.11it/s]
 31%|###1      | 244/781 [00:14<00:29, 17.91it/s]
 31%|###1      | 246/781 [00:14<00:29, 17.90it/s]
 32%|###1      | 248/781 [00:14<00:29, 17.96it/s]
 32%|###2      | 250/781 [00:14<00:29, 18.02it/s]
 32%|###2      | 252/781 [00:14<00:29, 18.05it/s]
 33%|###2      | 254/781 [00:14<00:29, 17.99it/s]
 33%|###2      | 256/781 [00:14<00:29, 17.69it/s]
 33%|###3      | 258/781 [00:14<00:29, 17.75it/s]
 33%|###3      | 260/781 [00:14<00:29, 17.91it/s]
 34%|###3      | 262/781 [00:15<00:28, 18.03it/s]
 34%|###3      | 264/781 [00:15<00:28, 18.06it/s]
 34%|###4      | 266/781 [00:15<00:28, 18.04it/s]
 34%|###4      | 268/781 [00:15<00:28, 18.12it/s]
 35%|###4      | 270/781 [00:15<00:28, 17.99it/s]
 35%|###4      | 272/781 [00:15<00:28, 18.04it/s]
 35%|###5      | 274/781 [00:15<00:27, 18.12it/s]
 35%|###5      | 276/781 [00:15<00:27, 18.17it/s]
 36%|###5      | 278/781 [00:15<00:27, 18.19it/s]
 36%|###5      | 280/781 [00:16<00:27, 18.13it/s]
 36%|###6      | 282/781 [00:16<00:27, 18.20it/s]
 36%|###6      | 284/781 [00:16<00:27, 18.27it/s]
 37%|###6      | 286/781 [00:16<00:27, 18.29it/s]
 37%|###6      | 288/781 [00:16<00:26, 18.31it/s]
 37%|###7      | 290/781 [00:16<00:26, 18.35it/s]
 37%|###7      | 292/781 [00:16<00:26, 18.35it/s]
 38%|###7      | 294/781 [00:16<00:26, 18.27it/s]
 38%|###7      | 296/781 [00:16<00:26, 18.25it/s]
 38%|###8      | 298/781 [00:17<00:26, 18.10it/s]
 38%|###8      | 300/781 [00:17<00:26, 17.94it/s]
 39%|###8      | 302/781 [00:17<00:26, 18.04it/s]
 39%|###8      | 304/781 [00:17<00:26, 18.12it/s]
 39%|###9      | 306/781 [00:17<00:26, 18.10it/s]
 39%|###9      | 308/781 [00:17<00:26, 18.13it/s]
 40%|###9      | 310/781 [00:17<00:26, 18.03it/s]
 40%|###9      | 312/781 [00:17<00:26, 17.97it/s]
 40%|####      | 314/781 [00:17<00:26, 17.88it/s]
 40%|####      | 316/781 [00:18<00:25, 17.96it/s]
 41%|####      | 318/781 [00:18<00:25, 17.92it/s]
 41%|####      | 320/781 [00:18<00:25, 17.96it/s]
 41%|####1     | 322/781 [00:18<00:25, 17.84it/s]
 41%|####1     | 324/781 [00:18<00:25, 17.97it/s]
 42%|####1     | 326/781 [00:18<00:25, 18.03it/s]
 42%|####1     | 328/781 [00:18<00:25, 18.10it/s]
 42%|####2     | 330/781 [00:18<00:25, 17.94it/s]
 43%|####2     | 332/781 [00:18<00:24, 17.97it/s]
 43%|####2     | 334/781 [00:19<00:25, 17.67it/s]
 43%|####3     | 336/781 [00:19<00:25, 17.78it/s]
 43%|####3     | 338/781 [00:19<00:24, 17.85it/s]
 44%|####3     | 340/781 [00:19<00:24, 17.98it/s]
 44%|####3     | 342/781 [00:19<00:24, 18.10it/s]
 44%|####4     | 344/781 [00:19<00:24, 18.10it/s]
 44%|####4     | 346/781 [00:19<00:23, 18.13it/s]
 45%|####4     | 348/781 [00:19<00:23, 18.11it/s]
 45%|####4     | 350/781 [00:19<00:23, 18.06it/s]
 45%|####5     | 352/781 [00:20<00:23, 17.89it/s]
 45%|####5     | 354/781 [00:20<00:23, 18.01it/s]
 46%|####5     | 356/781 [00:20<00:23, 18.01it/s]
 46%|####5     | 358/781 [00:20<00:23, 17.96it/s]
 46%|####6     | 360/781 [00:20<00:23, 18.00it/s]
 46%|####6     | 362/781 [00:20<00:23, 17.86it/s]
 47%|####6     | 364/781 [00:20<00:23, 17.87it/s]
 47%|####6     | 366/781 [00:20<00:23, 17.58it/s]
 47%|####7     | 368/781 [00:20<00:23, 17.77it/s]
 47%|####7     | 370/781 [00:21<00:22, 17.92it/s]
 48%|####7     | 372/781 [00:21<00:22, 17.96it/s]
 48%|####7     | 374/781 [00:21<00:22, 18.03it/s]
 48%|####8     | 376/781 [00:21<00:22, 18.12it/s]
 48%|####8     | 378/781 [00:21<00:22, 18.15it/s]
 49%|####8     | 380/781 [00:21<00:22, 18.19it/s]
 49%|####8     | 382/781 [00:21<00:21, 18.24it/s]
 49%|####9     | 384/781 [00:21<00:22, 17.78it/s]
 49%|####9     | 386/781 [00:21<00:22, 17.91it/s]
 50%|####9     | 388/781 [00:22<00:21, 18.00it/s]
 50%|####9     | 390/781 [00:22<00:21, 17.91it/s]
 50%|#####     | 392/781 [00:22<00:21, 17.95it/s]
 50%|#####     | 394/781 [00:22<00:21, 17.79it/s]
 51%|#####     | 396/781 [00:22<00:21, 17.67it/s]
 51%|#####     | 398/781 [00:22<00:21, 17.69it/s]
 51%|#####1    | 400/781 [00:22<00:21, 17.81it/s]
 51%|#####1    | 402/781 [00:22<00:21, 17.94it/s]
 52%|#####1    | 404/781 [00:22<00:20, 18.03it/s]
 52%|#####1    | 406/781 [00:23<00:20, 17.96it/s]
 52%|#####2    | 408/781 [00:23<00:20, 18.00it/s]
 52%|#####2    | 410/781 [00:23<00:20, 18.09it/s]
 53%|#####2    | 412/781 [00:23<00:20, 18.21it/s]
 53%|#####3    | 414/781 [00:23<00:20, 18.26it/s]
 53%|#####3    | 416/781 [00:23<00:19, 18.38it/s]
 54%|#####3    | 418/781 [00:23<00:19, 18.30it/s]
 54%|#####3    | 420/781 [00:23<00:20, 18.00it/s]
 54%|#####4    | 422/781 [00:23<00:20, 17.94it/s]
 54%|#####4    | 424/781 [00:24<00:19, 17.90it/s]
 55%|#####4    | 426/781 [00:24<00:19, 17.88it/s]
 55%|#####4    | 428/781 [00:24<00:19, 17.93it/s]
 55%|#####5    | 430/781 [00:24<00:19, 17.92it/s]
 55%|#####5    | 432/781 [00:24<00:19, 17.81it/s]
 56%|#####5    | 434/781 [00:24<00:19, 17.81it/s]
 56%|#####5    | 436/781 [00:24<00:19, 17.82it/s]
 56%|#####6    | 438/781 [00:24<00:19, 17.57it/s]
 56%|#####6    | 440/781 [00:24<00:19, 17.28it/s]
 57%|#####6    | 442/781 [00:25<00:19, 17.55it/s]
 57%|#####6    | 444/781 [00:25<00:18, 17.82it/s]
 57%|#####7    | 446/781 [00:25<00:18, 17.87it/s]
 57%|#####7    | 448/781 [00:25<00:18, 18.00it/s]
 58%|#####7    | 450/781 [00:25<00:18, 18.08it/s]
 58%|#####7    | 452/781 [00:25<00:18, 18.20it/s]
 58%|#####8    | 454/781 [00:25<00:17, 18.21it/s]
 58%|#####8    | 456/781 [00:25<00:17, 18.27it/s]
 59%|#####8    | 458/781 [00:25<00:17, 18.31it/s]
 59%|#####8    | 460/781 [00:26<00:17, 18.15it/s]
 59%|#####9    | 462/781 [00:26<00:17, 18.22it/s]
 59%|#####9    | 464/781 [00:26<00:17, 18.27it/s]
 60%|#####9    | 466/781 [00:26<00:17, 18.20it/s]
 60%|#####9    | 468/781 [00:26<00:17, 18.03it/s]
 60%|######    | 470/781 [00:26<00:17, 18.07it/s]
 60%|######    | 472/781 [00:26<00:17, 17.94it/s]
 61%|######    | 474/781 [00:26<00:17, 17.85it/s]
 61%|######    | 476/781 [00:26<00:16, 17.97it/s]
 61%|######1   | 478/781 [00:27<00:16, 17.94it/s]
 61%|######1   | 480/781 [00:27<00:16, 17.96it/s]
 62%|######1   | 482/781 [00:27<00:16, 18.01it/s]
 62%|######1   | 484/781 [00:27<00:16, 18.01it/s]
 62%|######2   | 486/781 [00:27<00:16, 18.08it/s]
 62%|######2   | 488/781 [00:27<00:16, 18.04it/s]
 63%|######2   | 490/781 [00:27<00:16, 18.11it/s]
 63%|######2   | 492/781 [00:27<00:15, 18.10it/s]
 63%|######3   | 494/781 [00:27<00:15, 18.02it/s]
 64%|######3   | 496/781 [00:28<00:15, 17.89it/s]
 64%|######3   | 498/781 [00:28<00:15, 18.05it/s]
 64%|######4   | 500/781 [00:28<00:15, 17.97it/s]
 64%|######4   | 502/781 [00:28<00:15, 17.93it/s]
 65%|######4   | 504/781 [00:28<00:15, 18.07it/s]
 65%|######4   | 506/781 [00:28<00:15, 17.94it/s]
 65%|######5   | 508/781 [00:28<00:15, 18.04it/s]
 65%|######5   | 510/781 [00:28<00:15, 17.93it/s]
 66%|######5   | 512/781 [00:28<00:15, 17.80it/s]
 66%|######5   | 514/781 [00:29<00:15, 17.74it/s]
 66%|######6   | 516/781 [00:29<00:14, 17.83it/s]
 66%|######6   | 518/781 [00:29<00:14, 18.00it/s]
 67%|######6   | 520/781 [00:29<00:14, 18.08it/s]
 67%|######6   | 522/781 [00:29<00:14, 18.17it/s]
 67%|######7   | 524/781 [00:29<00:14, 17.78it/s]
 67%|######7   | 526/781 [00:29<00:14, 17.82it/s]
 68%|######7   | 528/781 [00:29<00:14, 17.74it/s]
 68%|######7   | 530/781 [00:29<00:14, 17.82it/s]
 68%|######8   | 532/781 [00:30<00:13, 17.90it/s]
 68%|######8   | 534/781 [00:30<00:13, 17.80it/s]
 69%|######8   | 536/781 [00:30<00:13, 17.98it/s]
 69%|######8   | 538/781 [00:30<00:13, 18.05it/s]
 69%|######9   | 540/781 [00:30<00:13, 18.14it/s]
 69%|######9   | 542/781 [00:30<00:13, 18.08it/s]
 70%|######9   | 544/781 [00:30<00:13, 17.96it/s]
 70%|######9   | 546/781 [00:30<00:13, 18.05it/s]
 70%|#######   | 548/781 [00:30<00:12, 18.07it/s]
 70%|#######   | 550/781 [00:31<00:12, 17.97it/s]
 71%|#######   | 552/781 [00:31<00:12, 17.82it/s]
 71%|#######   | 554/781 [00:31<00:12, 17.76it/s]
 71%|#######1  | 556/781 [00:31<00:12, 17.67it/s]
 71%|#######1  | 558/781 [00:31<00:12, 17.61it/s]
 72%|#######1  | 560/781 [00:31<00:12, 17.78it/s]
 72%|#######1  | 562/781 [00:31<00:12, 17.85it/s]
 72%|#######2  | 564/781 [00:31<00:12, 18.05it/s]
 72%|#######2  | 566/781 [00:31<00:11, 18.18it/s]
 73%|#######2  | 568/781 [00:32<00:11, 18.50it/s]
 73%|#######2  | 570/781 [00:32<00:11, 18.69it/s]
 73%|#######3  | 572/781 [00:32<00:11, 18.86it/s]
 73%|#######3  | 574/781 [00:32<00:10, 19.15it/s]
 74%|#######3  | 576/781 [00:32<00:10, 19.34it/s]
 74%|#######4  | 578/781 [00:32<00:10, 19.30it/s]
 74%|#######4  | 580/781 [00:32<00:10, 19.29it/s]
 75%|#######4  | 582/781 [00:32<00:10, 18.90it/s]
 75%|#######4  | 584/781 [00:32<00:10, 19.08it/s]
 75%|#######5  | 586/781 [00:32<00:10, 19.23it/s]
 75%|#######5  | 588/781 [00:33<00:10, 19.28it/s]
 76%|#######5  | 590/781 [00:33<00:10, 19.08it/s]
 76%|#######5  | 592/781 [00:33<00:10, 18.74it/s]
 76%|#######6  | 595/781 [00:33<00:09, 19.53it/s]
 76%|#######6  | 597/781 [00:33<00:09, 19.16it/s]
 77%|#######6  | 600/781 [00:33<00:09, 19.70it/s]
 77%|#######7  | 603/781 [00:33<00:08, 20.06it/s]
 78%|#######7  | 606/781 [00:33<00:08, 20.33it/s]
 78%|#######7  | 609/781 [00:34<00:08, 20.55it/s]
 78%|#######8  | 612/781 [00:34<00:08, 20.61it/s]
 79%|#######8  | 615/781 [00:34<00:08, 20.48it/s]
 79%|#######9  | 618/781 [00:34<00:07, 20.41it/s]
 80%|#######9  | 621/781 [00:34<00:07, 20.41it/s]
 80%|#######9  | 624/781 [00:34<00:07, 20.56it/s]
 80%|########  | 627/781 [00:35<00:07, 20.70it/s]
 81%|########  | 630/781 [00:35<00:07, 20.85it/s]
 81%|########1 | 633/781 [00:35<00:07, 20.98it/s]
 81%|########1 | 636/781 [00:35<00:06, 20.84it/s]
 82%|########1 | 639/781 [00:35<00:06, 21.02it/s]
 82%|########2 | 642/781 [00:35<00:06, 20.97it/s]
 83%|########2 | 645/781 [00:35<00:06, 21.03it/s]
 83%|########2 | 648/781 [00:36<00:06, 21.02it/s]
 83%|########3 | 651/781 [00:36<00:06, 21.15it/s]
 84%|########3 | 654/781 [00:36<00:05, 21.26it/s]
 84%|########4 | 657/781 [00:36<00:05, 21.32it/s]
 85%|########4 | 660/781 [00:36<00:05, 21.38it/s]
 85%|########4 | 663/781 [00:36<00:05, 21.34it/s]
 85%|########5 | 666/781 [00:36<00:05, 21.35it/s]
 86%|########5 | 669/781 [00:36<00:05, 21.30it/s]
 86%|########6 | 672/781 [00:37<00:05, 21.27it/s]
 86%|########6 | 675/781 [00:37<00:05, 21.18it/s]
 87%|########6 | 678/781 [00:37<00:04, 21.21it/s]
 87%|########7 | 681/781 [00:37<00:04, 20.88it/s]
 88%|########7 | 684/781 [00:37<00:04, 20.91it/s]
 88%|########7 | 687/781 [00:37<00:04, 20.95it/s]
 88%|########8 | 690/781 [00:37<00:04, 20.96it/s]
 89%|########8 | 693/781 [00:38<00:04, 21.05it/s]
 89%|########9 | 696/781 [00:38<00:04, 21.19it/s]
 90%|########9 | 699/781 [00:38<00:03, 20.91it/s]
 90%|########9 | 702/781 [00:38<00:03, 21.07it/s]
 90%|######### | 705/781 [00:38<00:03, 20.99it/s]
 91%|######### | 708/781 [00:38<00:03, 20.90it/s]
 91%|#########1| 711/781 [00:38<00:03, 21.11it/s]
 91%|#########1| 714/781 [00:39<00:03, 21.16it/s]
 92%|#########1| 717/781 [00:39<00:03, 21.15it/s]
 92%|#########2| 720/781 [00:39<00:02, 21.19it/s]
 93%|#########2| 723/781 [00:39<00:02, 21.27it/s]
 93%|#########2| 726/781 [00:39<00:02, 21.31it/s]
 93%|#########3| 729/781 [00:39<00:02, 21.38it/s]
 94%|#########3| 732/781 [00:39<00:02, 21.45it/s]
 94%|#########4| 735/781 [00:40<00:02, 21.36it/s]
 94%|#########4| 738/781 [00:40<00:02, 21.35it/s]
 95%|#########4| 741/781 [00:40<00:01, 21.38it/s]
 95%|#########5| 744/781 [00:40<00:01, 21.30it/s]
 96%|#########5| 747/781 [00:40<00:01, 21.28it/s]
 96%|#########6| 750/781 [00:40<00:01, 21.32it/s]
 96%|#########6| 753/781 [00:40<00:01, 21.19it/s]
 97%|#########6| 756/781 [00:41<00:01, 21.19it/s]
 97%|#########7| 759/781 [00:41<00:01, 21.12it/s]
 98%|#########7| 762/781 [00:41<00:00, 21.18it/s]
 98%|#########7| 765/781 [00:41<00:00, 21.13it/s]
 98%|#########8| 768/781 [00:41<00:00, 21.16it/s]
 99%|#########8| 771/781 [00:41<00:00, 20.78it/s]
 99%|#########9| 774/781 [00:41<00:00, 20.85it/s]
 99%|#########9| 777/781 [00:42<00:00, 20.88it/s]
100%|#########9| 780/781 [00:42<00:00, 20.96it/s]
100%|##########| 781/781 [00:42<00:00, 18.47it/s]




Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:41,  1.04it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:41,  1.03it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:42,  1.00it/s]
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100%|##########| 157/157 [00:08<00:00, 18.26it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 3/781 [00:00<00:37, 20.93it/s]
  1%|          | 6/781 [00:00<00:36, 21.08it/s]
  1%|1         | 9/781 [00:00<00:36, 21.17it/s]
  2%|1         | 12/781 [00:00<00:36, 21.21it/s]
  2%|1         | 15/781 [00:00<00:36, 21.25it/s]
  2%|2         | 18/781 [00:00<00:35, 21.32it/s]
  3%|2         | 21/781 [00:00<00:35, 21.42it/s]
  3%|3         | 24/781 [00:01<00:35, 21.26it/s]
  3%|3         | 27/781 [00:01<00:35, 21.32it/s]
  4%|3         | 30/781 [00:01<00:35, 21.45it/s]
  4%|4         | 33/781 [00:01<00:34, 21.49it/s]
  5%|4         | 36/781 [00:01<00:34, 21.50it/s]
  5%|4         | 39/781 [00:01<00:34, 21.50it/s]
  5%|5         | 42/781 [00:01<00:34, 21.33it/s]
  6%|5         | 45/781 [00:02<00:34, 21.38it/s]
  6%|6         | 48/781 [00:02<00:34, 21.36it/s]
  7%|6         | 51/781 [00:02<00:34, 21.28it/s]
  7%|6         | 54/781 [00:02<00:34, 21.30it/s]
  7%|7         | 57/781 [00:02<00:34, 21.27it/s]
  8%|7         | 60/781 [00:02<00:34, 20.99it/s]
  8%|8         | 63/781 [00:02<00:34, 21.12it/s]
  8%|8         | 66/781 [00:03<00:33, 21.23it/s]
  9%|8         | 69/781 [00:03<00:33, 21.28it/s]
  9%|9         | 72/781 [00:03<00:33, 21.26it/s]
 10%|9         | 75/781 [00:03<00:33, 21.23it/s]
 10%|9         | 78/781 [00:03<00:33, 21.05it/s]
 10%|#         | 81/781 [00:03<00:33, 21.10it/s]
 11%|#         | 84/781 [00:03<00:32, 21.20it/s]
 11%|#1        | 87/781 [00:04<00:32, 21.30it/s]
 12%|#1        | 90/781 [00:04<00:32, 21.29it/s]
 12%|#1        | 93/781 [00:04<00:32, 21.20it/s]
 12%|#2        | 96/781 [00:04<00:32, 21.14it/s]
 13%|#2        | 99/781 [00:04<00:32, 21.02it/s]
 13%|#3        | 102/781 [00:04<00:32, 20.74it/s]
 13%|#3        | 105/781 [00:04<00:32, 20.86it/s]
 14%|#3        | 108/781 [00:05<00:32, 20.96it/s]
 14%|#4        | 111/781 [00:05<00:31, 21.02it/s]
 15%|#4        | 114/781 [00:05<00:31, 21.17it/s]
 15%|#4        | 117/781 [00:05<00:31, 21.29it/s]
 15%|#5        | 120/781 [00:05<00:31, 21.14it/s]
 16%|#5        | 123/781 [00:05<00:30, 21.26it/s]
 16%|#6        | 126/781 [00:05<00:30, 21.31it/s]
 17%|#6        | 129/781 [00:06<00:30, 21.33it/s]
 17%|#6        | 132/781 [00:06<00:30, 21.41it/s]
 17%|#7        | 135/781 [00:06<00:30, 21.21it/s]
 18%|#7        | 138/781 [00:06<00:30, 21.24it/s]
 18%|#8        | 141/781 [00:06<00:30, 21.31it/s]
 18%|#8        | 144/781 [00:06<00:30, 21.23it/s]
 19%|#8        | 147/781 [00:06<00:29, 21.28it/s]
 19%|#9        | 150/781 [00:07<00:29, 21.10it/s]
 20%|#9        | 153/781 [00:07<00:29, 21.22it/s]
 20%|#9        | 156/781 [00:07<00:29, 21.00it/s]
 20%|##        | 159/781 [00:07<00:29, 20.98it/s]
 21%|##        | 162/781 [00:07<00:29, 20.99it/s]
 21%|##1       | 165/781 [00:07<00:29, 21.09it/s]
 22%|##1       | 168/781 [00:07<00:28, 21.14it/s]
 22%|##1       | 171/781 [00:08<00:29, 20.92it/s]
 22%|##2       | 174/781 [00:08<00:29, 20.76it/s]
 23%|##2       | 177/781 [00:08<00:29, 20.69it/s]
 23%|##3       | 180/781 [00:08<00:28, 20.79it/s]
 23%|##3       | 183/781 [00:08<00:28, 20.94it/s]
 24%|##3       | 186/781 [00:08<00:28, 20.96it/s]
 24%|##4       | 189/781 [00:08<00:29, 20.27it/s]
 25%|##4       | 192/781 [00:09<00:30, 19.27it/s]
 25%|##4       | 194/781 [00:09<00:31, 18.63it/s]
 25%|##5       | 197/781 [00:09<00:30, 19.14it/s]
 25%|##5       | 199/781 [00:09<00:30, 19.02it/s]
 26%|##5       | 201/781 [00:09<00:31, 18.58it/s]
 26%|##5       | 203/781 [00:09<00:31, 18.21it/s]
 26%|##6       | 205/781 [00:09<00:31, 18.42it/s]
 27%|##6       | 207/781 [00:09<00:30, 18.62it/s]
 27%|##6       | 209/781 [00:10<00:31, 18.19it/s]
 27%|##7       | 211/781 [00:10<00:31, 17.93it/s]
 27%|##7       | 214/781 [00:10<00:30, 18.85it/s]
 28%|##7       | 216/781 [00:10<00:30, 18.64it/s]
 28%|##7       | 218/781 [00:10<00:30, 18.62it/s]
 28%|##8       | 220/781 [00:10<00:30, 18.44it/s]
 28%|##8       | 222/781 [00:10<00:30, 18.40it/s]
 29%|##8       | 224/781 [00:10<00:30, 18.20it/s]
 29%|##8       | 226/781 [00:10<00:31, 17.89it/s]
 29%|##9       | 228/781 [00:11<00:30, 17.98it/s]
 29%|##9       | 230/781 [00:11<00:30, 17.96it/s]
 30%|##9       | 232/781 [00:11<00:30, 18.13it/s]
 30%|###       | 235/781 [00:11<00:29, 18.82it/s]
 30%|###       | 237/781 [00:11<00:29, 18.64it/s]
 31%|###       | 239/781 [00:11<00:29, 18.64it/s]
 31%|###       | 241/781 [00:11<00:28, 18.94it/s]
 31%|###1      | 244/781 [00:11<00:27, 19.59it/s]
 31%|###1      | 246/781 [00:12<00:27, 19.26it/s]
 32%|###1      | 248/781 [00:12<00:28, 18.90it/s]
 32%|###2      | 250/781 [00:12<00:28, 18.57it/s]
 32%|###2      | 252/781 [00:12<00:28, 18.60it/s]
 33%|###2      | 254/781 [00:12<00:28, 18.35it/s]
 33%|###2      | 256/781 [00:12<00:28, 18.20it/s]
 33%|###3      | 258/781 [00:12<00:28, 18.50it/s]
 33%|###3      | 260/781 [00:12<00:28, 18.54it/s]
 34%|###3      | 262/781 [00:12<00:27, 18.91it/s]
 34%|###3      | 264/781 [00:13<00:27, 18.49it/s]
 34%|###4      | 266/781 [00:13<00:28, 18.29it/s]
 34%|###4      | 268/781 [00:13<00:27, 18.55it/s]
 35%|###4      | 270/781 [00:13<00:27, 18.60it/s]
 35%|###4      | 272/781 [00:13<00:27, 18.56it/s]
 35%|###5      | 274/781 [00:13<00:27, 18.37it/s]
 35%|###5      | 276/781 [00:13<00:28, 18.03it/s]
 36%|###5      | 278/781 [00:13<00:28, 17.88it/s]
 36%|###5      | 280/781 [00:13<00:27, 18.17it/s]
 36%|###6      | 282/781 [00:13<00:26, 18.62it/s]
 36%|###6      | 284/781 [00:14<00:27, 18.21it/s]
 37%|###6      | 286/781 [00:14<00:27, 17.99it/s]
 37%|###6      | 288/781 [00:14<00:28, 17.38it/s]
 37%|###7      | 290/781 [00:14<00:28, 17.36it/s]
 37%|###7      | 292/781 [00:14<00:27, 17.56it/s]
 38%|###7      | 294/781 [00:14<00:27, 17.75it/s]
 38%|###7      | 296/781 [00:14<00:27, 17.84it/s]
 38%|###8      | 298/781 [00:14<00:27, 17.86it/s]
 38%|###8      | 300/781 [00:15<00:26, 18.08it/s]
 39%|###8      | 302/781 [00:15<00:26, 18.23it/s]
 39%|###8      | 304/781 [00:15<00:25, 18.59it/s]
 39%|###9      | 306/781 [00:15<00:25, 18.56it/s]
 39%|###9      | 308/781 [00:15<00:24, 18.95it/s]
 40%|###9      | 310/781 [00:15<00:25, 18.80it/s]
 40%|####      | 313/781 [00:15<00:24, 19.29it/s]
 40%|####      | 316/781 [00:15<00:23, 19.84it/s]
 41%|####      | 319/781 [00:15<00:22, 20.28it/s]
 41%|####1     | 322/781 [00:16<00:22, 20.68it/s]
 42%|####1     | 325/781 [00:16<00:21, 20.74it/s]
 42%|####1     | 328/781 [00:16<00:21, 20.77it/s]
 42%|####2     | 331/781 [00:16<00:21, 20.91it/s]
 43%|####2     | 334/781 [00:16<00:21, 21.03it/s]
 43%|####3     | 337/781 [00:16<00:20, 21.15it/s]
 44%|####3     | 340/781 [00:16<00:20, 21.07it/s]
 44%|####3     | 343/781 [00:17<00:20, 21.24it/s]
 44%|####4     | 346/781 [00:17<00:20, 21.27it/s]
 45%|####4     | 349/781 [00:17<00:20, 21.23it/s]
 45%|####5     | 352/781 [00:17<00:20, 21.18it/s]
 45%|####5     | 355/781 [00:17<00:20, 21.25it/s]
 46%|####5     | 358/781 [00:17<00:19, 21.29it/s]
 46%|####6     | 361/781 [00:17<00:19, 21.11it/s]
 47%|####6     | 364/781 [00:18<00:19, 21.06it/s]
 47%|####6     | 367/781 [00:18<00:19, 20.84it/s]
 47%|####7     | 370/781 [00:18<00:19, 20.89it/s]
 48%|####7     | 373/781 [00:18<00:19, 20.69it/s]
 48%|####8     | 376/781 [00:18<00:20, 19.93it/s]
 48%|####8     | 378/781 [00:18<00:20, 19.72it/s]
 49%|####8     | 380/781 [00:18<00:20, 19.29it/s]
 49%|####9     | 383/781 [00:19<00:20, 19.33it/s]
 49%|####9     | 385/781 [00:19<00:20, 18.97it/s]
 50%|####9     | 388/781 [00:19<00:20, 19.00it/s]
 50%|####9     | 390/781 [00:19<00:20, 18.97it/s]
 50%|#####     | 392/781 [00:19<00:20, 18.93it/s]
 50%|#####     | 394/781 [00:19<00:20, 18.85it/s]
 51%|#####     | 396/781 [00:19<00:20, 19.07it/s]
 51%|#####     | 398/781 [00:19<00:20, 18.59it/s]
 51%|#####1    | 400/781 [00:19<00:20, 18.62it/s]
 51%|#####1    | 402/781 [00:20<00:20, 18.88it/s]
 52%|#####1    | 405/781 [00:20<00:19, 19.67it/s]
 52%|#####2    | 408/781 [00:20<00:18, 20.15it/s]
 53%|#####2    | 411/781 [00:20<00:18, 20.44it/s]
 53%|#####3    | 414/781 [00:20<00:17, 20.64it/s]
 53%|#####3    | 417/781 [00:20<00:17, 20.83it/s]
 54%|#####3    | 420/781 [00:20<00:17, 20.96it/s]
 54%|#####4    | 423/781 [00:21<00:17, 21.06it/s]
 55%|#####4    | 426/781 [00:21<00:16, 21.16it/s]
 55%|#####4    | 429/781 [00:21<00:16, 21.16it/s]
 55%|#####5    | 432/781 [00:21<00:16, 21.12it/s]
 56%|#####5    | 435/781 [00:21<00:16, 21.07it/s]
 56%|#####6    | 438/781 [00:21<00:16, 21.13it/s]
 56%|#####6    | 441/781 [00:21<00:16, 20.95it/s]
 57%|#####6    | 444/781 [00:22<00:16, 20.86it/s]
 57%|#####7    | 447/781 [00:22<00:16, 20.79it/s]
 58%|#####7    | 450/781 [00:22<00:15, 20.72it/s]
 58%|#####8    | 453/781 [00:22<00:15, 20.84it/s]
 58%|#####8    | 456/781 [00:22<00:15, 20.68it/s]
 59%|#####8    | 459/781 [00:22<00:15, 20.90it/s]
 59%|#####9    | 462/781 [00:22<00:15, 21.08it/s]
 60%|#####9    | 465/781 [00:23<00:14, 21.23it/s]
 60%|#####9    | 468/781 [00:23<00:14, 21.34it/s]
 60%|######    | 471/781 [00:23<00:14, 21.43it/s]
 61%|######    | 474/781 [00:23<00:14, 21.50it/s]
 61%|######1   | 477/781 [00:23<00:14, 21.38it/s]
 61%|######1   | 480/781 [00:23<00:14, 21.29it/s]
 62%|######1   | 483/781 [00:23<00:14, 21.27it/s]
 62%|######2   | 486/781 [00:24<00:13, 21.16it/s]
 63%|######2   | 489/781 [00:24<00:13, 20.97it/s]
 63%|######2   | 492/781 [00:24<00:14, 20.50it/s]
 63%|######3   | 495/781 [00:24<00:14, 19.96it/s]
 64%|######3   | 498/781 [00:24<00:14, 19.66it/s]
 64%|######4   | 500/781 [00:24<00:14, 19.72it/s]
 64%|######4   | 502/781 [00:24<00:14, 19.46it/s]
 65%|######4   | 504/781 [00:24<00:14, 19.46it/s]
 65%|######4   | 506/781 [00:25<00:14, 19.32it/s]
 65%|######5   | 508/781 [00:25<00:14, 19.17it/s]
 65%|######5   | 510/781 [00:25<00:13, 19.38it/s]
 66%|######5   | 512/781 [00:25<00:13, 19.40it/s]
 66%|######5   | 514/781 [00:25<00:13, 19.36it/s]
 66%|######6   | 516/781 [00:25<00:13, 19.33it/s]
 66%|######6   | 518/781 [00:25<00:13, 19.47it/s]
 67%|######6   | 521/781 [00:25<00:13, 19.96it/s]
 67%|######7   | 524/781 [00:26<00:12, 20.35it/s]
 67%|######7   | 527/781 [00:26<00:12, 20.54it/s]
 68%|######7   | 530/781 [00:26<00:12, 20.79it/s]
 68%|######8   | 533/781 [00:26<00:11, 20.95it/s]
 69%|######8   | 536/781 [00:26<00:11, 21.03it/s]
 69%|######9   | 539/781 [00:26<00:11, 20.94it/s]
 69%|######9   | 542/781 [00:26<00:11, 21.04it/s]
 70%|######9   | 545/781 [00:26<00:11, 21.14it/s]
 70%|#######   | 548/781 [00:27<00:11, 21.14it/s]
 71%|#######   | 551/781 [00:27<00:10, 21.12it/s]
 71%|#######   | 554/781 [00:27<00:10, 21.17it/s]
 71%|#######1  | 557/781 [00:27<00:10, 21.07it/s]
 72%|#######1  | 560/781 [00:27<00:10, 21.08it/s]
 72%|#######2  | 563/781 [00:27<00:10, 21.04it/s]
 72%|#######2  | 566/781 [00:27<00:10, 20.96it/s]
 73%|#######2  | 569/781 [00:28<00:10, 21.05it/s]
 73%|#######3  | 572/781 [00:28<00:09, 21.02it/s]
 74%|#######3  | 575/781 [00:28<00:09, 21.03it/s]
 74%|#######4  | 578/781 [00:28<00:09, 20.80it/s]
 74%|#######4  | 581/781 [00:28<00:09, 20.84it/s]
 75%|#######4  | 584/781 [00:28<00:09, 20.76it/s]
 75%|#######5  | 587/781 [00:28<00:09, 20.90it/s]
 76%|#######5  | 590/781 [00:29<00:09, 20.92it/s]
 76%|#######5  | 593/781 [00:29<00:08, 20.97it/s]
 76%|#######6  | 596/781 [00:29<00:08, 20.93it/s]
 77%|#######6  | 599/781 [00:29<00:08, 20.79it/s]
 77%|#######7  | 602/781 [00:29<00:08, 20.82it/s]
 77%|#######7  | 605/781 [00:29<00:08, 20.88it/s]
 78%|#######7  | 608/781 [00:30<00:08, 21.01it/s]
 78%|#######8  | 611/781 [00:30<00:08, 20.88it/s]
 79%|#######8  | 614/781 [00:30<00:07, 20.99it/s]
 79%|#######9  | 617/781 [00:30<00:07, 20.86it/s]
 79%|#######9  | 620/781 [00:30<00:07, 20.77it/s]
 80%|#######9  | 623/781 [00:30<00:07, 20.91it/s]
 80%|########  | 626/781 [00:30<00:07, 20.95it/s]
 81%|########  | 629/781 [00:31<00:07, 20.96it/s]
 81%|########  | 632/781 [00:31<00:07, 21.02it/s]
 81%|########1 | 635/781 [00:31<00:06, 21.16it/s]
 82%|########1 | 638/781 [00:31<00:06, 21.27it/s]
 82%|########2 | 641/781 [00:31<00:06, 21.26it/s]
 82%|########2 | 644/781 [00:31<00:06, 21.28it/s]
 83%|########2 | 647/781 [00:31<00:06, 21.37it/s]
 83%|########3 | 650/781 [00:31<00:06, 21.15it/s]
 84%|########3 | 653/781 [00:32<00:06, 21.09it/s]
 84%|########3 | 656/781 [00:32<00:05, 21.03it/s]
 84%|########4 | 659/781 [00:32<00:05, 20.95it/s]
 85%|########4 | 662/781 [00:32<00:05, 21.03it/s]
 85%|########5 | 665/781 [00:32<00:05, 21.22it/s]
 86%|########5 | 668/781 [00:32<00:05, 21.18it/s]
 86%|########5 | 671/781 [00:32<00:05, 21.15it/s]
 86%|########6 | 674/781 [00:33<00:05, 21.16it/s]
 87%|########6 | 677/781 [00:33<00:04, 21.16it/s]
 87%|########7 | 680/781 [00:33<00:04, 20.89it/s]
 87%|########7 | 683/781 [00:33<00:04, 20.75it/s]
 88%|########7 | 686/781 [00:33<00:04, 20.93it/s]
 88%|########8 | 689/781 [00:33<00:04, 20.92it/s]
 89%|########8 | 692/781 [00:33<00:04, 21.01it/s]
 89%|########8 | 695/781 [00:34<00:04, 21.13it/s]
 89%|########9 | 698/781 [00:34<00:03, 21.22it/s]
 90%|########9 | 701/781 [00:34<00:03, 21.16it/s]
 90%|######### | 704/781 [00:34<00:03, 21.24it/s]
 91%|######### | 707/781 [00:34<00:03, 21.19it/s]
 91%|######### | 710/781 [00:34<00:03, 21.03it/s]
 91%|#########1| 713/781 [00:34<00:03, 20.90it/s]
 92%|#########1| 716/781 [00:35<00:03, 20.82it/s]
 92%|#########2| 719/781 [00:35<00:02, 21.03it/s]
 92%|#########2| 722/781 [00:35<00:02, 20.88it/s]
 93%|#########2| 725/781 [00:35<00:02, 20.92it/s]
 93%|#########3| 728/781 [00:35<00:02, 20.97it/s]
 94%|#########3| 731/781 [00:35<00:02, 21.06it/s]
 94%|#########3| 734/781 [00:35<00:02, 21.00it/s]
 94%|#########4| 737/781 [00:36<00:02, 21.00it/s]
 95%|#########4| 740/781 [00:36<00:01, 21.11it/s]
 95%|#########5| 743/781 [00:36<00:01, 21.17it/s]
 96%|#########5| 746/781 [00:36<00:01, 21.01it/s]
 96%|#########5| 749/781 [00:36<00:01, 21.10it/s]
 96%|#########6| 752/781 [00:36<00:01, 21.13it/s]
 97%|#########6| 755/781 [00:36<00:01, 21.18it/s]
 97%|#########7| 758/781 [00:37<00:01, 21.13it/s]
 97%|#########7| 761/781 [00:37<00:00, 21.20it/s]
 98%|#########7| 764/781 [00:37<00:00, 21.28it/s]
 98%|#########8| 767/781 [00:37<00:00, 20.88it/s]
 99%|#########8| 770/781 [00:37<00:00, 20.75it/s]
 99%|#########8| 773/781 [00:37<00:00, 20.76it/s]
 99%|#########9| 776/781 [00:37<00:00, 20.90it/s]
100%|#########9| 779/781 [00:38<00:00, 20.94it/s]
100%|##########| 781/781 [00:38<00:00, 20.43it/s]




Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
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Validation Progress:   2%|2         | 1/44 [00:01<00:43,  1.01s/it]
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 97%|#########6| 152/157 [00:09<00:00, 16.54it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.37it/s]
 99%|#########9| 156/157 [00:09<00:00, 16.45it/s]
100%|##########| 157/157 [00:09<00:00, 16.48it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:49, 15.75it/s]
  1%|          | 4/781 [00:00<00:44, 17.31it/s]
  1%|          | 6/781 [00:00<00:43, 17.93it/s]
  1%|1         | 8/781 [00:00<00:42, 18.25it/s]
  1%|1         | 10/781 [00:00<00:42, 17.99it/s]
  2%|1         | 12/781 [00:00<00:42, 18.22it/s]
  2%|1         | 14/781 [00:00<00:42, 18.22it/s]
  2%|2         | 16/781 [00:00<00:41, 18.34it/s]
  2%|2         | 18/781 [00:00<00:41, 18.50it/s]
  3%|2         | 20/781 [00:01<00:41, 18.54it/s]
  3%|2         | 22/781 [00:01<00:41, 18.44it/s]
  3%|3         | 24/781 [00:01<00:41, 18.40it/s]
  3%|3         | 26/781 [00:01<00:41, 18.28it/s]
  4%|3         | 28/781 [00:01<00:41, 18.32it/s]
  4%|3         | 30/781 [00:01<00:41, 18.25it/s]
  4%|4         | 32/781 [00:01<00:41, 18.24it/s]
  4%|4         | 34/781 [00:01<00:40, 18.35it/s]
  5%|4         | 36/781 [00:01<00:40, 18.46it/s]
  5%|4         | 38/781 [00:02<00:40, 18.47it/s]
  5%|5         | 40/781 [00:02<00:40, 18.52it/s]
  5%|5         | 42/781 [00:02<00:39, 18.64it/s]
  6%|5         | 44/781 [00:02<00:39, 18.59it/s]
  6%|5         | 46/781 [00:02<00:40, 18.17it/s]
  6%|6         | 48/781 [00:02<00:40, 18.25it/s]
  6%|6         | 50/781 [00:02<00:39, 18.45it/s]
  7%|6         | 52/781 [00:02<00:39, 18.49it/s]
  7%|6         | 54/781 [00:02<00:39, 18.53it/s]
  7%|7         | 56/781 [00:03<00:39, 18.58it/s]
  7%|7         | 58/781 [00:03<00:39, 18.19it/s]
  8%|7         | 60/781 [00:03<00:39, 18.23it/s]
  8%|7         | 62/781 [00:03<00:39, 18.31it/s]
  8%|8         | 64/781 [00:03<00:38, 18.44it/s]
  8%|8         | 66/781 [00:03<00:38, 18.44it/s]
  9%|8         | 68/781 [00:03<00:38, 18.49it/s]
  9%|8         | 70/781 [00:03<00:38, 18.59it/s]
  9%|9         | 72/781 [00:03<00:38, 18.43it/s]
  9%|9         | 74/781 [00:04<00:38, 18.53it/s]
 10%|9         | 76/781 [00:04<00:38, 18.41it/s]
 10%|9         | 78/781 [00:04<00:38, 18.37it/s]
 10%|#         | 80/781 [00:04<00:38, 18.39it/s]
 10%|#         | 82/781 [00:04<00:38, 18.31it/s]
 11%|#         | 84/781 [00:04<00:39, 17.62it/s]
 11%|#1        | 86/781 [00:04<00:38, 18.00it/s]
 11%|#1        | 88/781 [00:04<00:37, 18.28it/s]
 12%|#1        | 90/781 [00:04<00:38, 18.14it/s]
 12%|#1        | 92/781 [00:05<00:37, 18.25it/s]
 12%|#2        | 94/781 [00:05<00:37, 18.26it/s]
 12%|#2        | 96/781 [00:05<00:37, 18.29it/s]
 13%|#2        | 98/781 [00:05<00:38, 17.86it/s]
 13%|#2        | 100/781 [00:05<00:37, 17.96it/s]
 13%|#3        | 102/781 [00:05<00:37, 18.17it/s]
 13%|#3        | 104/781 [00:05<00:36, 18.36it/s]
 14%|#3        | 106/781 [00:05<00:36, 18.64it/s]
 14%|#3        | 108/781 [00:05<00:35, 18.92it/s]
 14%|#4        | 110/781 [00:05<00:35, 19.10it/s]
 14%|#4        | 112/781 [00:06<00:34, 19.25it/s]
 15%|#4        | 114/781 [00:06<00:34, 19.20it/s]
 15%|#4        | 116/781 [00:06<00:34, 19.30it/s]
 15%|#5        | 118/781 [00:06<00:34, 19.38it/s]
 15%|#5        | 120/781 [00:06<00:34, 19.44it/s]
 16%|#5        | 122/781 [00:06<00:34, 19.33it/s]
 16%|#5        | 124/781 [00:06<00:33, 19.38it/s]
 16%|#6        | 126/781 [00:06<00:33, 19.47it/s]
 16%|#6        | 128/781 [00:06<00:33, 19.36it/s]
 17%|#6        | 130/781 [00:07<00:33, 19.28it/s]
 17%|#6        | 132/781 [00:07<00:33, 19.38it/s]
 17%|#7        | 134/781 [00:07<00:33, 19.14it/s]
 17%|#7        | 136/781 [00:07<00:33, 19.30it/s]
 18%|#7        | 138/781 [00:07<00:33, 19.22it/s]
 18%|#7        | 140/781 [00:07<00:33, 19.06it/s]
 18%|#8        | 142/781 [00:07<00:33, 19.18it/s]
 18%|#8        | 144/781 [00:07<00:33, 19.12it/s]
 19%|#8        | 146/781 [00:07<00:32, 19.28it/s]
 19%|#8        | 148/781 [00:07<00:32, 19.38it/s]
 19%|#9        | 150/781 [00:08<00:32, 19.32it/s]
 19%|#9        | 152/781 [00:08<00:32, 19.17it/s]
 20%|#9        | 154/781 [00:08<00:32, 19.35it/s]
 20%|#9        | 156/781 [00:08<00:32, 19.39it/s]
 20%|##        | 158/781 [00:08<00:32, 19.21it/s]
 20%|##        | 160/781 [00:08<00:32, 19.37it/s]
 21%|##        | 162/781 [00:08<00:32, 19.25it/s]
 21%|##        | 164/781 [00:08<00:31, 19.29it/s]
 21%|##1       | 166/781 [00:08<00:31, 19.24it/s]
 22%|##1       | 168/781 [00:08<00:31, 19.27it/s]
 22%|##1       | 170/781 [00:09<00:31, 19.28it/s]
 22%|##2       | 172/781 [00:09<00:31, 19.34it/s]
 22%|##2       | 174/781 [00:09<00:31, 19.37it/s]
 23%|##2       | 176/781 [00:09<00:31, 19.41it/s]
 23%|##2       | 178/781 [00:09<00:31, 19.31it/s]
 23%|##3       | 180/781 [00:09<00:31, 19.39it/s]
 23%|##3       | 182/781 [00:09<00:30, 19.45it/s]
 24%|##3       | 184/781 [00:09<00:31, 18.74it/s]
 24%|##3       | 186/781 [00:09<00:31, 18.67it/s]
 24%|##4       | 188/781 [00:10<00:31, 18.83it/s]
 24%|##4       | 190/781 [00:10<00:31, 18.75it/s]
 25%|##4       | 192/781 [00:10<00:31, 18.87it/s]
 25%|##4       | 194/781 [00:10<00:31, 18.92it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.02it/s]
 25%|##5       | 198/781 [00:10<00:30, 18.92it/s]
 26%|##5       | 200/781 [00:10<00:30, 19.06it/s]
 26%|##5       | 202/781 [00:10<00:30, 19.10it/s]
 26%|##6       | 204/781 [00:10<00:30, 19.14it/s]
 26%|##6       | 206/781 [00:11<00:30, 18.67it/s]
 27%|##6       | 208/781 [00:11<00:31, 18.41it/s]
 27%|##6       | 210/781 [00:11<00:30, 18.60it/s]
 27%|##7       | 212/781 [00:11<00:30, 18.89it/s]
 27%|##7       | 214/781 [00:11<00:29, 18.98it/s]
 28%|##7       | 216/781 [00:11<00:29, 19.18it/s]
 28%|##7       | 218/781 [00:11<00:29, 19.36it/s]
 28%|##8       | 220/781 [00:11<00:29, 19.31it/s]
 28%|##8       | 222/781 [00:11<00:28, 19.34it/s]
 29%|##8       | 224/781 [00:11<00:28, 19.27it/s]
 29%|##8       | 226/781 [00:12<00:28, 19.24it/s]
 29%|##9       | 228/781 [00:12<00:28, 19.27it/s]
 29%|##9       | 230/781 [00:12<00:28, 19.19it/s]
 30%|##9       | 232/781 [00:12<00:28, 19.32it/s]
 30%|##9       | 234/781 [00:12<00:28, 19.40it/s]
 30%|###       | 236/781 [00:12<00:27, 19.50it/s]
 30%|###       | 238/781 [00:12<00:27, 19.57it/s]
 31%|###       | 240/781 [00:12<00:27, 19.63it/s]
 31%|###       | 242/781 [00:12<00:27, 19.32it/s]
 31%|###1      | 244/781 [00:12<00:27, 19.27it/s]
 31%|###1      | 246/781 [00:13<00:27, 19.28it/s]
 32%|###1      | 248/781 [00:13<00:27, 19.44it/s]
 32%|###2      | 250/781 [00:13<00:27, 19.56it/s]
 32%|###2      | 252/781 [00:13<00:27, 19.56it/s]
 33%|###2      | 254/781 [00:13<00:26, 19.53it/s]
 33%|###2      | 256/781 [00:13<00:27, 19.36it/s]
 33%|###3      | 258/781 [00:13<00:26, 19.44it/s]
 33%|###3      | 260/781 [00:13<00:27, 19.16it/s]
 34%|###3      | 262/781 [00:13<00:27, 19.11it/s]
 34%|###3      | 264/781 [00:14<00:26, 19.17it/s]
 34%|###4      | 266/781 [00:14<00:26, 19.08it/s]
 34%|###4      | 268/781 [00:14<00:26, 19.12it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.13it/s]
 35%|###4      | 272/781 [00:14<00:26, 19.05it/s]
 35%|###5      | 274/781 [00:14<00:26, 19.06it/s]
 35%|###5      | 276/781 [00:14<00:26, 18.99it/s]
 36%|###5      | 278/781 [00:14<00:26, 19.03it/s]
 36%|###5      | 280/781 [00:14<00:26, 18.93it/s]
 36%|###6      | 282/781 [00:14<00:26, 19.09it/s]
 36%|###6      | 284/781 [00:15<00:26, 18.73it/s]
 37%|###6      | 286/781 [00:15<00:26, 18.60it/s]
 37%|###6      | 288/781 [00:15<00:26, 18.66it/s]
 37%|###7      | 290/781 [00:15<00:26, 18.72it/s]
 37%|###7      | 292/781 [00:15<00:26, 18.76it/s]
 38%|###7      | 294/781 [00:15<00:25, 18.81it/s]
 38%|###7      | 296/781 [00:15<00:25, 19.04it/s]
 38%|###8      | 298/781 [00:15<00:25, 19.19it/s]
 38%|###8      | 300/781 [00:15<00:24, 19.34it/s]
 39%|###8      | 302/781 [00:16<00:24, 19.38it/s]
 39%|###8      | 304/781 [00:16<00:24, 19.37it/s]
 39%|###9      | 306/781 [00:16<00:24, 19.46it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.42it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.40it/s]
 40%|###9      | 312/781 [00:16<00:24, 19.17it/s]
 40%|####      | 314/781 [00:16<00:24, 19.14it/s]
 40%|####      | 316/781 [00:16<00:24, 19.30it/s]
 41%|####      | 318/781 [00:16<00:23, 19.34it/s]
 41%|####      | 320/781 [00:16<00:23, 19.28it/s]
 41%|####1     | 322/781 [00:17<00:23, 19.27it/s]
 41%|####1     | 324/781 [00:17<00:23, 19.37it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.44it/s]
 42%|####1     | 328/781 [00:17<00:23, 19.37it/s]
 42%|####2     | 330/781 [00:17<00:23, 19.13it/s]
 43%|####2     | 332/781 [00:17<00:23, 19.12it/s]
 43%|####2     | 334/781 [00:17<00:23, 19.06it/s]
 43%|####3     | 336/781 [00:17<00:23, 19.26it/s]
 43%|####3     | 338/781 [00:17<00:22, 19.41it/s]
 44%|####3     | 340/781 [00:17<00:22, 19.43it/s]
 44%|####3     | 342/781 [00:18<00:22, 19.34it/s]
 44%|####4     | 344/781 [00:18<00:22, 19.29it/s]
 44%|####4     | 346/781 [00:18<00:22, 19.27it/s]
 45%|####4     | 348/781 [00:18<00:22, 19.38it/s]
 45%|####4     | 350/781 [00:18<00:22, 19.30it/s]
 45%|####5     | 352/781 [00:18<00:22, 19.47it/s]
 45%|####5     | 354/781 [00:18<00:21, 19.55it/s]
 46%|####5     | 356/781 [00:18<00:21, 19.57it/s]
 46%|####5     | 358/781 [00:18<00:21, 19.60it/s]
 46%|####6     | 360/781 [00:18<00:21, 19.63it/s]
 46%|####6     | 362/781 [00:19<00:21, 19.67it/s]
 47%|####6     | 364/781 [00:19<00:21, 19.51it/s]
 47%|####6     | 366/781 [00:19<00:21, 19.54it/s]
 47%|####7     | 368/781 [00:19<00:21, 19.37it/s]
 47%|####7     | 370/781 [00:19<00:21, 19.11it/s]
 48%|####7     | 372/781 [00:19<00:21, 19.20it/s]
 48%|####7     | 374/781 [00:19<00:21, 19.02it/s]
 48%|####8     | 376/781 [00:19<00:21, 19.01it/s]
 48%|####8     | 378/781 [00:19<00:20, 19.19it/s]
 49%|####8     | 380/781 [00:20<00:20, 19.21it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.85it/s]
 49%|####9     | 384/781 [00:20<00:20, 19.01it/s]
 49%|####9     | 386/781 [00:20<00:20, 19.07it/s]
 50%|####9     | 388/781 [00:20<00:20, 19.13it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.05it/s]
 50%|#####     | 392/781 [00:20<00:20, 19.12it/s]
 50%|#####     | 394/781 [00:20<00:20, 19.22it/s]
 51%|#####     | 396/781 [00:20<00:19, 19.36it/s]
 51%|#####     | 398/781 [00:20<00:19, 19.39it/s]
 51%|#####1    | 400/781 [00:21<00:19, 19.44it/s]
 51%|#####1    | 402/781 [00:21<00:19, 19.39it/s]
 52%|#####1    | 404/781 [00:21<00:19, 19.48it/s]
 52%|#####1    | 406/781 [00:21<00:19, 19.57it/s]
 52%|#####2    | 408/781 [00:21<00:19, 19.52it/s]
 52%|#####2    | 410/781 [00:21<00:18, 19.56it/s]
 53%|#####2    | 412/781 [00:21<00:18, 19.61it/s]
 53%|#####3    | 414/781 [00:21<00:18, 19.59it/s]
 53%|#####3    | 416/781 [00:21<00:18, 19.56it/s]
 54%|#####3    | 418/781 [00:22<00:18, 19.56it/s]
 54%|#####3    | 420/781 [00:22<00:18, 19.40it/s]
 54%|#####4    | 422/781 [00:22<00:18, 19.44it/s]
 54%|#####4    | 424/781 [00:22<00:18, 19.49it/s]
 55%|#####4    | 426/781 [00:22<00:18, 19.33it/s]
 55%|#####4    | 428/781 [00:22<00:18, 19.34it/s]
 55%|#####5    | 430/781 [00:22<00:18, 19.35it/s]
 55%|#####5    | 432/781 [00:22<00:17, 19.44it/s]
 56%|#####5    | 434/781 [00:22<00:17, 19.45it/s]
 56%|#####5    | 436/781 [00:22<00:17, 19.49it/s]
 56%|#####6    | 438/781 [00:23<00:17, 19.36it/s]
 56%|#####6    | 440/781 [00:23<00:17, 19.38it/s]
 57%|#####6    | 442/781 [00:23<00:17, 19.41it/s]
 57%|#####6    | 444/781 [00:23<00:17, 19.35it/s]
 57%|#####7    | 446/781 [00:23<00:17, 19.14it/s]
 57%|#####7    | 448/781 [00:23<00:17, 19.26it/s]
 58%|#####7    | 450/781 [00:23<00:17, 19.36it/s]
 58%|#####7    | 452/781 [00:23<00:17, 19.19it/s]
 58%|#####8    | 454/781 [00:23<00:17, 19.18it/s]
 58%|#####8    | 456/781 [00:23<00:16, 19.20it/s]
 59%|#####8    | 458/781 [00:24<00:16, 19.21it/s]
 59%|#####8    | 460/781 [00:24<00:16, 19.33it/s]
 59%|#####9    | 462/781 [00:24<00:16, 19.16it/s]
 59%|#####9    | 464/781 [00:24<00:16, 19.25it/s]
 60%|#####9    | 466/781 [00:24<00:16, 19.30it/s]
 60%|#####9    | 468/781 [00:24<00:16, 19.35it/s]
 60%|######    | 470/781 [00:24<00:16, 19.35it/s]
 60%|######    | 472/781 [00:24<00:15, 19.43it/s]
 61%|######    | 474/781 [00:24<00:15, 19.36it/s]
 61%|######    | 476/781 [00:25<00:15, 19.21it/s]
 61%|######1   | 478/781 [00:25<00:15, 19.25it/s]
 61%|######1   | 480/781 [00:25<00:15, 19.38it/s]
 62%|######1   | 482/781 [00:25<00:15, 19.37it/s]
 62%|######1   | 484/781 [00:25<00:15, 19.38it/s]
 62%|######2   | 486/781 [00:25<00:15, 19.45it/s]
 62%|######2   | 488/781 [00:25<00:14, 19.58it/s]
 63%|######2   | 490/781 [00:25<00:14, 19.64it/s]
 63%|######2   | 492/781 [00:25<00:14, 19.66it/s]
 63%|######3   | 494/781 [00:25<00:14, 19.60it/s]
 64%|######3   | 496/781 [00:26<00:14, 19.61it/s]
 64%|######3   | 498/781 [00:26<00:14, 19.60it/s]
 64%|######4   | 500/781 [00:26<00:14, 19.45it/s]
 64%|######4   | 502/781 [00:26<00:14, 19.33it/s]
 65%|######4   | 504/781 [00:26<00:14, 19.34it/s]
 65%|######4   | 506/781 [00:26<00:14, 19.47it/s]
 65%|######5   | 508/781 [00:26<00:14, 19.12it/s]
 65%|######5   | 510/781 [00:26<00:14, 19.19it/s]
 66%|######5   | 512/781 [00:26<00:14, 19.21it/s]
 66%|######5   | 514/781 [00:26<00:14, 18.69it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.86it/s]
 66%|######6   | 518/781 [00:27<00:14, 18.64it/s]
 67%|######6   | 520/781 [00:27<00:13, 18.89it/s]
 67%|######6   | 522/781 [00:27<00:13, 19.04it/s]
 67%|######7   | 524/781 [00:27<00:13, 19.11it/s]
 67%|######7   | 526/781 [00:27<00:13, 19.23it/s]
 68%|######7   | 528/781 [00:27<00:13, 19.18it/s]
 68%|######7   | 530/781 [00:27<00:12, 19.33it/s]
 68%|######8   | 532/781 [00:27<00:12, 19.44it/s]
 68%|######8   | 534/781 [00:28<00:12, 19.19it/s]
 69%|######8   | 536/781 [00:28<00:12, 19.10it/s]
 69%|######8   | 538/781 [00:28<00:12, 19.11it/s]
 69%|######9   | 540/781 [00:28<00:12, 19.23it/s]
 69%|######9   | 542/781 [00:28<00:12, 19.30it/s]
 70%|######9   | 544/781 [00:28<00:12, 19.12it/s]
 70%|######9   | 546/781 [00:28<00:12, 18.96it/s]
 70%|#######   | 548/781 [00:28<00:12, 19.15it/s]
 70%|#######   | 550/781 [00:28<00:12, 19.19it/s]
 71%|#######   | 552/781 [00:28<00:11, 19.25it/s]
 71%|#######   | 554/781 [00:29<00:11, 19.25it/s]
 71%|#######1  | 556/781 [00:29<00:11, 19.24it/s]
 71%|#######1  | 558/781 [00:29<00:11, 19.07it/s]
 72%|#######1  | 560/781 [00:29<00:11, 19.19it/s]
 72%|#######1  | 562/781 [00:29<00:11, 19.32it/s]
 72%|#######2  | 564/781 [00:29<00:11, 19.30it/s]
 72%|#######2  | 566/781 [00:29<00:11, 18.98it/s]
 73%|#######2  | 568/781 [00:29<00:11, 18.81it/s]
 73%|#######2  | 570/781 [00:29<00:11, 18.93it/s]
 73%|#######3  | 572/781 [00:30<00:10, 19.08it/s]
 73%|#######3  | 574/781 [00:30<00:10, 19.08it/s]
 74%|#######3  | 576/781 [00:30<00:10, 18.90it/s]
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100%|##########| 781/781 [00:41<00:00, 18.99it/s]




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Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.15s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.16s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.18s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.19s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.02s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.02s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.02s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.03s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:13<00:00, 13.94s/it]
100%|##########| 1/1 [00:13<00:00, 13.94s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:11, 12.95it/s]
  3%|2         | 4/157 [00:00<00:11, 13.58it/s]
  4%|3         | 6/157 [00:00<00:10, 14.46it/s]
  5%|5         | 8/157 [00:00<00:09, 15.26it/s]
  6%|6         | 10/157 [00:00<00:09, 15.48it/s]
  8%|7         | 12/157 [00:00<00:09, 15.83it/s]
  9%|8         | 14/157 [00:00<00:08, 16.15it/s]
 10%|#         | 16/157 [00:01<00:08, 16.09it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.22it/s]
 13%|#2        | 20/157 [00:01<00:08, 16.18it/s]
 14%|#4        | 22/157 [00:01<00:08, 16.27it/s]
 15%|#5        | 24/157 [00:01<00:08, 16.21it/s]
 17%|#6        | 26/157 [00:01<00:08, 16.21it/s]
 18%|#7        | 28/157 [00:01<00:07, 16.36it/s]
 19%|#9        | 30/157 [00:01<00:07, 16.24it/s]
 20%|##        | 32/157 [00:02<00:07, 16.15it/s]
 22%|##1       | 34/157 [00:02<00:07, 16.23it/s]
 23%|##2       | 36/157 [00:02<00:07, 16.24it/s]
 24%|##4       | 38/157 [00:02<00:07, 16.26it/s]
 25%|##5       | 40/157 [00:02<00:07, 16.34it/s]
 27%|##6       | 42/157 [00:02<00:06, 16.49it/s]
 28%|##8       | 44/157 [00:02<00:06, 16.58it/s]
 29%|##9       | 46/157 [00:02<00:06, 16.66it/s]
 31%|###       | 48/157 [00:02<00:06, 16.69it/s]
 32%|###1      | 50/157 [00:03<00:06, 16.64it/s]
 33%|###3      | 52/157 [00:03<00:06, 16.67it/s]
 34%|###4      | 54/157 [00:03<00:06, 16.51it/s]
 36%|###5      | 56/157 [00:03<00:06, 16.52it/s]
 37%|###6      | 58/157 [00:03<00:06, 16.19it/s]
 38%|###8      | 60/157 [00:03<00:06, 16.16it/s]
 39%|###9      | 62/157 [00:03<00:05, 16.11it/s]
 41%|####      | 64/157 [00:03<00:05, 16.17it/s]
 42%|####2     | 66/157 [00:04<00:05, 15.81it/s]
 43%|####3     | 68/157 [00:04<00:05, 15.77it/s]
 45%|####4     | 70/157 [00:04<00:05, 15.70it/s]
 46%|####5     | 72/157 [00:04<00:05, 15.84it/s]
 47%|####7     | 74/157 [00:04<00:05, 15.91it/s]
 48%|####8     | 76/157 [00:04<00:05, 15.76it/s]
 50%|####9     | 78/157 [00:04<00:04, 15.89it/s]
 51%|#####     | 80/157 [00:04<00:04, 15.98it/s]
 52%|#####2    | 82/157 [00:05<00:04, 16.02it/s]
 54%|#####3    | 84/157 [00:05<00:04, 16.00it/s]
 55%|#####4    | 86/157 [00:05<00:04, 16.00it/s]
 56%|#####6    | 88/157 [00:05<00:04, 15.83it/s]
 57%|#####7    | 90/157 [00:05<00:04, 15.93it/s]
 59%|#####8    | 92/157 [00:05<00:04, 15.84it/s]
 60%|#####9    | 94/157 [00:05<00:04, 15.73it/s]
 61%|######1   | 96/157 [00:05<00:03, 15.83it/s]
 62%|######2   | 98/157 [00:06<00:03, 16.13it/s]
 64%|######3   | 100/157 [00:06<00:03, 15.93it/s]
 65%|######4   | 102/157 [00:06<00:03, 16.17it/s]
 66%|######6   | 104/157 [00:06<00:03, 16.23it/s]
 68%|######7   | 106/157 [00:06<00:03, 16.21it/s]
 69%|######8   | 108/157 [00:06<00:02, 16.35it/s]
 70%|#######   | 110/157 [00:06<00:02, 16.44it/s]
 71%|#######1  | 112/157 [00:06<00:02, 16.61it/s]
 73%|#######2  | 114/157 [00:07<00:02, 16.70it/s]
 74%|#######3  | 116/157 [00:07<00:02, 16.75it/s]
 75%|#######5  | 118/157 [00:07<00:02, 16.80it/s]
 76%|#######6  | 120/157 [00:07<00:02, 16.65it/s]
 78%|#######7  | 122/157 [00:07<00:02, 16.65it/s]
 79%|#######8  | 124/157 [00:07<00:01, 16.69it/s]
 80%|########  | 126/157 [00:07<00:01, 16.41it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.36it/s]
 83%|########2 | 130/157 [00:08<00:01, 16.29it/s]
 84%|########4 | 132/157 [00:08<00:01, 16.34it/s]
 85%|########5 | 134/157 [00:08<00:01, 16.49it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.62it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.66it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.69it/s]
 90%|######### | 142/157 [00:08<00:00, 16.65it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.69it/s]
 93%|#########2| 146/157 [00:09<00:00, 16.76it/s]
 94%|#########4| 148/157 [00:09<00:00, 16.76it/s]
 96%|#########5| 150/157 [00:09<00:00, 16.77it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.83it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.65it/s]
 99%|#########9| 156/157 [00:09<00:00, 16.73it/s]
100%|##########| 157/157 [00:09<00:00, 16.30it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:44, 17.63it/s]
  1%|          | 4/781 [00:00<00:41, 18.63it/s]
  1%|          | 6/781 [00:00<00:41, 18.87it/s]
  1%|1         | 8/781 [00:00<00:41, 18.78it/s]
  1%|1         | 10/781 [00:00<00:41, 18.51it/s]
  2%|1         | 12/781 [00:00<00:41, 18.34it/s]
  2%|1         | 14/781 [00:00<00:42, 18.21it/s]
  2%|2         | 16/781 [00:00<00:42, 18.12it/s]
  2%|2         | 18/781 [00:00<00:42, 18.04it/s]
  3%|2         | 20/781 [00:01<00:42, 17.94it/s]
  3%|2         | 22/781 [00:01<00:42, 17.84it/s]
  3%|3         | 24/781 [00:01<00:42, 17.67it/s]
  3%|3         | 26/781 [00:01<00:42, 17.60it/s]
  4%|3         | 28/781 [00:01<00:42, 17.54it/s]
  4%|3         | 30/781 [00:01<00:43, 17.28it/s]
  4%|4         | 32/781 [00:01<00:42, 17.42it/s]
  4%|4         | 34/781 [00:01<00:42, 17.44it/s]
  5%|4         | 36/781 [00:02<00:41, 17.76it/s]
  5%|4         | 38/781 [00:02<00:41, 17.88it/s]
  5%|5         | 40/781 [00:02<00:41, 17.68it/s]
  5%|5         | 42/781 [00:02<00:41, 18.02it/s]
  6%|5         | 44/781 [00:02<00:40, 18.24it/s]
  6%|5         | 46/781 [00:02<00:40, 18.36it/s]
  6%|6         | 48/781 [00:02<00:40, 18.30it/s]
  6%|6         | 50/781 [00:02<00:39, 18.36it/s]
  7%|6         | 52/781 [00:02<00:39, 18.47it/s]
  7%|6         | 54/781 [00:02<00:40, 18.11it/s]
  7%|7         | 56/781 [00:03<00:39, 18.25it/s]
  7%|7         | 58/781 [00:03<00:39, 18.38it/s]
  8%|7         | 60/781 [00:03<00:39, 18.30it/s]
  8%|7         | 62/781 [00:03<00:38, 18.46it/s]
  8%|8         | 64/781 [00:03<00:38, 18.70it/s]
  8%|8         | 66/781 [00:03<00:38, 18.80it/s]
  9%|8         | 68/781 [00:03<00:38, 18.66it/s]
  9%|8         | 70/781 [00:03<00:37, 18.74it/s]
  9%|9         | 72/781 [00:03<00:38, 18.60it/s]
  9%|9         | 74/781 [00:04<00:38, 18.52it/s]
 10%|9         | 76/781 [00:04<00:38, 18.38it/s]
 10%|9         | 78/781 [00:04<00:38, 18.45it/s]
 10%|#         | 80/781 [00:04<00:37, 18.49it/s]
 10%|#         | 82/781 [00:04<00:37, 18.56it/s]
 11%|#         | 84/781 [00:04<00:38, 18.15it/s]
 11%|#1        | 86/781 [00:04<00:40, 17.16it/s]
 11%|#1        | 88/781 [00:04<00:39, 17.43it/s]
 12%|#1        | 90/781 [00:04<00:39, 17.60it/s]
 12%|#1        | 92/781 [00:05<00:38, 18.02it/s]
 12%|#2        | 94/781 [00:05<00:38, 17.83it/s]
 12%|#2        | 96/781 [00:05<00:37, 18.19it/s]
 13%|#2        | 98/781 [00:05<00:37, 18.42it/s]
 13%|#2        | 100/781 [00:05<00:36, 18.46it/s]
 13%|#3        | 102/781 [00:05<00:36, 18.74it/s]
 13%|#3        | 104/781 [00:05<00:36, 18.73it/s]
 14%|#3        | 106/781 [00:05<00:36, 18.66it/s]
 14%|#3        | 108/781 [00:05<00:35, 18.75it/s]
 14%|#4        | 110/781 [00:06<00:36, 18.24it/s]
 14%|#4        | 112/781 [00:06<00:36, 18.58it/s]
 15%|#4        | 114/781 [00:06<00:35, 18.82it/s]
 15%|#4        | 116/781 [00:06<00:35, 18.73it/s]
 15%|#5        | 118/781 [00:06<01:11,  9.30it/s]
 15%|#5        | 120/781 [00:06<00:59, 11.03it/s]
 16%|#5        | 122/781 [00:07<00:52, 12.65it/s]
 16%|#5        | 124/781 [00:07<00:46, 14.13it/s]
 16%|#6        | 126/781 [00:07<00:42, 15.45it/s]
 16%|#6        | 128/781 [00:07<00:39, 16.48it/s]
 17%|#6        | 130/781 [00:07<00:37, 17.26it/s]
 17%|#6        | 132/781 [00:07<00:36, 17.75it/s]
 17%|#7        | 134/781 [00:07<00:35, 18.30it/s]
 17%|#7        | 136/781 [00:07<00:34, 18.72it/s]
 18%|#7        | 138/781 [00:07<00:33, 18.96it/s]
 18%|#7        | 140/781 [00:07<00:33, 19.20it/s]
 18%|#8        | 142/781 [00:08<00:33, 19.20it/s]
 18%|#8        | 144/781 [00:08<00:33, 19.18it/s]
 19%|#8        | 146/781 [00:08<00:33, 18.99it/s]
 19%|#8        | 148/781 [00:08<00:32, 19.21it/s]
 19%|#9        | 150/781 [00:08<00:32, 19.27it/s]
 19%|#9        | 152/781 [00:08<00:32, 19.26it/s]
 20%|#9        | 154/781 [00:08<00:32, 19.40it/s]
 20%|#9        | 156/781 [00:08<00:32, 19.45it/s]
 20%|##        | 158/781 [00:08<00:32, 19.37it/s]
 20%|##        | 160/781 [00:08<00:32, 19.32it/s]
 21%|##        | 162/781 [00:09<00:31, 19.35it/s]
 21%|##        | 164/781 [00:09<00:31, 19.33it/s]
 21%|##1       | 166/781 [00:09<00:31, 19.32it/s]
 22%|##1       | 168/781 [00:09<00:31, 19.36it/s]
 22%|##1       | 170/781 [00:09<00:31, 19.46it/s]
 22%|##2       | 172/781 [00:09<00:31, 19.49it/s]
 22%|##2       | 174/781 [00:09<00:31, 19.19it/s]
 23%|##2       | 176/781 [00:09<00:31, 19.31it/s]
 23%|##2       | 178/781 [00:09<00:31, 19.43it/s]
 23%|##3       | 180/781 [00:10<00:30, 19.39it/s]
 23%|##3       | 182/781 [00:10<00:31, 19.02it/s]
 24%|##3       | 184/781 [00:10<00:31, 18.97it/s]
 24%|##3       | 186/781 [00:10<00:31, 18.86it/s]
 24%|##4       | 188/781 [00:10<00:31, 18.83it/s]
 24%|##4       | 190/781 [00:10<00:31, 18.96it/s]
 25%|##4       | 192/781 [00:10<00:30, 19.15it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.30it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.35it/s]
 25%|##5       | 198/781 [00:10<00:30, 19.33it/s]
 26%|##5       | 200/781 [00:11<00:30, 19.28it/s]
 26%|##5       | 202/781 [00:11<00:30, 19.12it/s]
 26%|##6       | 204/781 [00:11<00:30, 19.08it/s]
 26%|##6       | 206/781 [00:11<00:30, 19.15it/s]
 27%|##6       | 208/781 [00:11<00:29, 19.22it/s]
 27%|##6       | 210/781 [00:11<00:29, 19.25it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.26it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.03it/s]
 28%|##7       | 216/781 [00:11<00:30, 18.62it/s]
 28%|##7       | 218/781 [00:12<00:30, 18.53it/s]
 28%|##8       | 220/781 [00:12<00:30, 18.50it/s]
 28%|##8       | 222/781 [00:12<00:29, 18.66it/s]
 29%|##8       | 224/781 [00:12<00:30, 18.41it/s]
 29%|##8       | 226/781 [00:12<00:30, 18.33it/s]
 29%|##9       | 228/781 [00:12<00:30, 18.33it/s]
 29%|##9       | 230/781 [00:12<00:29, 18.44it/s]
 30%|##9       | 232/781 [00:12<00:29, 18.42it/s]
 30%|##9       | 234/781 [00:12<00:29, 18.45it/s]
 30%|###       | 236/781 [00:13<00:29, 18.59it/s]
 30%|###       | 238/781 [00:13<00:29, 18.65it/s]
 31%|###       | 240/781 [00:13<00:28, 18.73it/s]
 31%|###       | 242/781 [00:13<00:28, 18.72it/s]
 31%|###1      | 244/781 [00:13<00:28, 18.70it/s]
 31%|###1      | 246/781 [00:13<00:28, 18.73it/s]
 32%|###1      | 248/781 [00:13<00:28, 18.66it/s]
 32%|###2      | 250/781 [00:13<00:28, 18.56it/s]
 32%|###2      | 252/781 [00:13<00:28, 18.57it/s]
 33%|###2      | 254/781 [00:13<00:28, 18.63it/s]
 33%|###2      | 256/781 [00:14<00:28, 18.38it/s]
 33%|###3      | 258/781 [00:14<00:28, 18.40it/s]
 33%|###3      | 260/781 [00:14<00:28, 18.42it/s]
 34%|###3      | 262/781 [00:14<00:28, 18.42it/s]
 34%|###3      | 264/781 [00:14<00:28, 18.20it/s]
 34%|###4      | 266/781 [00:14<00:28, 18.22it/s]
 34%|###4      | 268/781 [00:14<00:28, 18.08it/s]
 35%|###4      | 270/781 [00:14<00:28, 18.14it/s]
 35%|###4      | 272/781 [00:14<00:27, 18.27it/s]
 35%|###5      | 274/781 [00:15<00:27, 18.26it/s]
 35%|###5      | 276/781 [00:15<00:27, 18.41it/s]
 36%|###5      | 278/781 [00:15<00:27, 18.51it/s]
 36%|###5      | 280/781 [00:15<00:26, 18.61it/s]
 36%|###6      | 282/781 [00:15<00:27, 18.39it/s]
 36%|###6      | 284/781 [00:15<00:26, 18.52it/s]
 37%|###6      | 286/781 [00:15<00:26, 18.57it/s]
 37%|###6      | 288/781 [00:15<00:26, 18.64it/s]
 37%|###7      | 290/781 [00:15<00:26, 18.35it/s]
 37%|###7      | 292/781 [00:16<00:26, 18.13it/s]
 38%|###7      | 294/781 [00:16<00:27, 18.00it/s]
 38%|###7      | 296/781 [00:16<00:27, 17.85it/s]
 38%|###8      | 298/781 [00:16<00:26, 18.04it/s]
 38%|###8      | 300/781 [00:16<00:26, 18.22it/s]
 39%|###8      | 302/781 [00:16<00:26, 18.34it/s]
 39%|###8      | 304/781 [00:16<00:25, 18.50it/s]
 39%|###9      | 306/781 [00:16<00:25, 18.64it/s]
 39%|###9      | 308/781 [00:16<00:25, 18.74it/s]
 40%|###9      | 310/781 [00:17<00:25, 18.79it/s]
 40%|###9      | 312/781 [00:17<00:25, 18.73it/s]
 40%|####      | 314/781 [00:17<00:25, 18.68it/s]
 40%|####      | 316/781 [00:17<00:24, 18.72it/s]
 41%|####      | 318/781 [00:17<00:24, 18.75it/s]
 41%|####      | 320/781 [00:17<00:24, 18.75it/s]
 41%|####1     | 322/781 [00:17<00:24, 18.60it/s]
 41%|####1     | 324/781 [00:17<00:24, 18.42it/s]
 42%|####1     | 326/781 [00:17<00:24, 18.40it/s]
 42%|####1     | 328/781 [00:17<00:24, 18.42it/s]
 42%|####2     | 330/781 [00:18<00:24, 18.60it/s]
 43%|####2     | 332/781 [00:18<00:23, 18.71it/s]
 43%|####2     | 334/781 [00:18<00:23, 18.69it/s]
 43%|####3     | 336/781 [00:18<00:23, 18.69it/s]
 43%|####3     | 338/781 [00:18<00:24, 18.42it/s]
 44%|####3     | 340/781 [00:18<00:24, 18.22it/s]
 44%|####3     | 342/781 [00:18<00:23, 18.41it/s]
 44%|####4     | 344/781 [00:18<00:23, 18.44it/s]
 44%|####4     | 346/781 [00:18<00:23, 18.55it/s]
 45%|####4     | 348/781 [00:19<00:23, 18.47it/s]
 45%|####4     | 350/781 [00:19<00:23, 18.51it/s]
 45%|####5     | 352/781 [00:19<00:23, 18.53it/s]
 45%|####5     | 354/781 [00:19<00:23, 18.40it/s]
 46%|####5     | 356/781 [00:19<00:22, 18.51it/s]
 46%|####5     | 358/781 [00:19<00:22, 18.52it/s]
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100%|#########9| 780/781 [00:42<00:00, 18.59it/s]
100%|##########| 781/781 [00:42<00:00, 18.49it/s]




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Validation Progress:  66%|######5   | 29/44 [00:31<00:16,  1.11s/it]
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Validation Progress:  68%|######8   | 30/44 [00:32<00:15,  1.14s/it]
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Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.13s/it]
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Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.11s/it]
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Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.18s/it]
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Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.17s/it]
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Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.16s/it]
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Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.20s/it]
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Validation Progress:  86%|########6 | 38/44 [00:42<00:07,  1.21s/it]
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Validation Progress:  98%|#########7| 43/44 [00:48<00:01,  1.19s/it]
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Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
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Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
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 17%|#7        | 136/781 [00:07<00:34, 18.62it/s]
 18%|#7        | 138/781 [00:07<00:34, 18.69it/s]
 18%|#7        | 140/781 [00:07<00:34, 18.51it/s]
 18%|#8        | 142/781 [00:07<00:34, 18.35it/s]
 18%|#8        | 144/781 [00:07<00:34, 18.41it/s]
 19%|#8        | 146/781 [00:08<00:34, 18.55it/s]
 19%|#8        | 148/781 [00:08<00:33, 18.66it/s]
 19%|#9        | 150/781 [00:08<00:33, 18.74it/s]
 19%|#9        | 152/781 [00:08<00:33, 18.78it/s]
 20%|#9        | 154/781 [00:08<00:33, 18.75it/s]
 20%|#9        | 156/781 [00:08<00:33, 18.67it/s]
 20%|##        | 158/781 [00:08<00:33, 18.77it/s]
 20%|##        | 160/781 [00:08<00:33, 18.77it/s]
 21%|##        | 162/781 [00:08<00:33, 18.63it/s]
 21%|##        | 164/781 [00:08<00:32, 18.81it/s]
 21%|##1       | 166/781 [00:09<00:33, 18.60it/s]
 22%|##1       | 168/781 [00:09<00:33, 18.10it/s]
 22%|##1       | 170/781 [00:09<00:34, 17.95it/s]
 22%|##2       | 172/781 [00:09<00:33, 18.28it/s]
 22%|##2       | 174/781 [00:09<00:33, 18.19it/s]
 23%|##2       | 176/781 [00:09<00:32, 18.40it/s]
 23%|##2       | 178/781 [00:09<00:32, 18.30it/s]
 23%|##3       | 180/781 [00:09<00:32, 18.31it/s]
 23%|##3       | 182/781 [00:09<00:32, 18.32it/s]
 24%|##3       | 184/781 [00:10<00:32, 18.52it/s]
 24%|##3       | 186/781 [00:10<00:31, 18.74it/s]
 24%|##4       | 188/781 [00:10<00:31, 18.86it/s]
 24%|##4       | 190/781 [00:10<00:31, 18.95it/s]
 25%|##4       | 192/781 [00:10<00:30, 19.06it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.04it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.21it/s]
 25%|##5       | 198/781 [00:10<00:30, 19.20it/s]
 26%|##5       | 200/781 [00:10<00:30, 19.28it/s]
 26%|##5       | 202/781 [00:10<00:29, 19.33it/s]
 26%|##6       | 204/781 [00:11<00:29, 19.28it/s]
 26%|##6       | 206/781 [00:11<00:29, 19.40it/s]
 27%|##6       | 208/781 [00:11<00:29, 19.35it/s]
 27%|##6       | 210/781 [00:11<00:29, 19.36it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.33it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.31it/s]
 28%|##7       | 216/781 [00:11<00:29, 19.37it/s]
 28%|##7       | 218/781 [00:11<00:29, 18.94it/s]
 28%|##8       | 220/781 [00:11<00:30, 18.52it/s]
 28%|##8       | 222/781 [00:12<00:29, 18.68it/s]
 29%|##8       | 224/781 [00:12<00:29, 18.78it/s]
 29%|##8       | 226/781 [00:12<00:29, 18.66it/s]
 29%|##9       | 228/781 [00:12<00:29, 18.94it/s]
 29%|##9       | 230/781 [00:12<00:28, 19.03it/s]
 30%|##9       | 232/781 [00:12<00:28, 18.99it/s]
 30%|##9       | 234/781 [00:12<00:28, 18.92it/s]
 30%|###       | 236/781 [00:12<00:28, 18.95it/s]
 30%|###       | 238/781 [00:12<00:28, 18.88it/s]
 31%|###       | 240/781 [00:12<00:28, 18.92it/s]
 31%|###       | 242/781 [00:13<00:28, 19.12it/s]
 31%|###1      | 244/781 [00:13<00:28, 18.97it/s]
 31%|###1      | 246/781 [00:13<00:28, 19.02it/s]
 32%|###1      | 248/781 [00:13<00:27, 19.12it/s]
 32%|###2      | 250/781 [00:13<00:27, 19.27it/s]
 32%|###2      | 252/781 [00:13<00:27, 19.42it/s]
 33%|###2      | 254/781 [00:13<00:27, 19.49it/s]
 33%|###2      | 256/781 [00:13<00:26, 19.55it/s]
 33%|###3      | 258/781 [00:13<00:27, 19.09it/s]
 33%|###3      | 260/781 [00:14<00:27, 19.28it/s]
 34%|###3      | 262/781 [00:14<00:26, 19.35it/s]
 34%|###3      | 264/781 [00:14<00:26, 19.20it/s]
 34%|###4      | 266/781 [00:14<00:26, 19.14it/s]
 34%|###4      | 268/781 [00:14<00:26, 19.21it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.22it/s]
 35%|###4      | 272/781 [00:14<00:26, 19.26it/s]
 35%|###5      | 274/781 [00:14<00:26, 19.32it/s]
 35%|###5      | 276/781 [00:14<00:26, 19.42it/s]
 36%|###5      | 278/781 [00:14<00:25, 19.49it/s]
 36%|###5      | 280/781 [00:15<00:25, 19.52it/s]
 36%|###6      | 282/781 [00:15<00:25, 19.47it/s]
 36%|###6      | 284/781 [00:15<00:25, 19.47it/s]
 37%|###6      | 286/781 [00:15<00:25, 19.49it/s]
 37%|###6      | 288/781 [00:15<00:25, 19.51it/s]
 37%|###7      | 290/781 [00:15<00:25, 19.61it/s]
 37%|###7      | 292/781 [00:15<00:24, 19.58it/s]
 38%|###7      | 294/781 [00:15<00:24, 19.57it/s]
 38%|###7      | 296/781 [00:15<00:24, 19.61it/s]
 38%|###8      | 298/781 [00:15<00:24, 19.62it/s]
 38%|###8      | 300/781 [00:16<00:24, 19.56it/s]
 39%|###8      | 302/781 [00:16<00:24, 19.59it/s]
 39%|###8      | 304/781 [00:16<00:24, 19.36it/s]
 39%|###9      | 306/781 [00:16<00:24, 19.43it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.10it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.22it/s]
 40%|###9      | 312/781 [00:16<00:24, 19.29it/s]
 40%|####      | 314/781 [00:16<00:24, 19.42it/s]
 40%|####      | 316/781 [00:16<00:23, 19.50it/s]
 41%|####      | 318/781 [00:17<00:24, 19.18it/s]
 41%|####      | 320/781 [00:17<00:23, 19.28it/s]
 41%|####1     | 322/781 [00:17<00:23, 19.37it/s]
 41%|####1     | 324/781 [00:17<00:23, 19.48it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.41it/s]
 42%|####1     | 328/781 [00:17<00:23, 19.32it/s]
 42%|####2     | 330/781 [00:17<00:23, 19.21it/s]
 43%|####2     | 332/781 [00:17<00:23, 19.12it/s]
 43%|####2     | 334/781 [00:17<00:23, 19.18it/s]
 43%|####3     | 336/781 [00:17<00:23, 19.20it/s]
 43%|####3     | 338/781 [00:18<00:23, 19.03it/s]
 44%|####3     | 340/781 [00:18<00:22, 19.19it/s]
 44%|####3     | 342/781 [00:18<00:22, 19.10it/s]
 44%|####4     | 344/781 [00:18<00:22, 19.06it/s]
 44%|####4     | 346/781 [00:18<00:22, 19.17it/s]
 45%|####4     | 348/781 [00:18<00:22, 19.26it/s]
 45%|####4     | 350/781 [00:18<00:22, 19.25it/s]
 45%|####5     | 352/781 [00:18<00:22, 19.28it/s]
 45%|####5     | 354/781 [00:18<00:22, 19.29it/s]
 46%|####5     | 356/781 [00:18<00:21, 19.35it/s]
 46%|####5     | 358/781 [00:19<00:22, 19.13it/s]
 46%|####6     | 360/781 [00:19<00:21, 19.26it/s]
 46%|####6     | 362/781 [00:19<00:21, 19.39it/s]
 47%|####6     | 364/781 [00:19<00:21, 19.55it/s]
 47%|####6     | 366/781 [00:19<00:21, 19.60it/s]
 47%|####7     | 368/781 [00:19<00:21, 19.50it/s]
 47%|####7     | 370/781 [00:19<00:21, 19.39it/s]
 48%|####7     | 372/781 [00:19<00:21, 19.31it/s]
 48%|####7     | 374/781 [00:19<00:21, 19.06it/s]
 48%|####8     | 376/781 [00:20<00:21, 18.89it/s]
 48%|####8     | 378/781 [00:20<00:21, 18.70it/s]
 49%|####8     | 380/781 [00:20<00:21, 18.57it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.51it/s]
 49%|####9     | 384/781 [00:20<00:21, 18.83it/s]
 49%|####9     | 386/781 [00:20<00:20, 18.83it/s]
 50%|####9     | 388/781 [00:20<00:20, 18.86it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.09it/s]
 50%|#####     | 392/781 [00:20<00:20, 19.10it/s]
 50%|#####     | 394/781 [00:20<00:20, 19.18it/s]
 51%|#####     | 396/781 [00:21<00:19, 19.29it/s]
 51%|#####     | 398/781 [00:21<00:19, 19.36it/s]
 51%|#####1    | 400/781 [00:21<00:19, 19.44it/s]
 51%|#####1    | 402/781 [00:21<00:19, 19.33it/s]
 52%|#####1    | 404/781 [00:21<00:19, 19.36it/s]
 52%|#####1    | 406/781 [00:21<00:19, 19.13it/s]
 52%|#####2    | 408/781 [00:21<00:19, 19.17it/s]
 52%|#####2    | 410/781 [00:21<00:19, 18.99it/s]
 53%|#####2    | 412/781 [00:21<00:19, 19.00it/s]
 53%|#####3    | 414/781 [00:22<00:19, 18.83it/s]
 53%|#####3    | 416/781 [00:22<00:19, 18.92it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.95it/s]
 54%|#####3    | 420/781 [00:22<00:18, 19.17it/s]
 54%|#####4    | 422/781 [00:22<00:18, 19.10it/s]
 54%|#####4    | 424/781 [00:22<00:18, 19.05it/s]
 55%|#####4    | 426/781 [00:22<00:18, 18.95it/s]
 55%|#####4    | 428/781 [00:22<00:18, 18.92it/s]
 55%|#####5    | 430/781 [00:22<00:18, 18.95it/s]
 55%|#####5    | 432/781 [00:22<00:18, 19.06it/s]
 56%|#####5    | 434/781 [00:23<00:18, 19.02it/s]
 56%|#####5    | 436/781 [00:23<00:18, 19.02it/s]
 56%|#####6    | 438/781 [00:23<00:18, 18.98it/s]
 56%|#####6    | 440/781 [00:23<00:17, 19.07it/s]
 57%|#####6    | 442/781 [00:23<00:17, 19.25it/s]
 57%|#####6    | 444/781 [00:23<00:17, 19.42it/s]
 57%|#####7    | 446/781 [00:23<00:17, 19.57it/s]
 57%|#####7    | 448/781 [00:23<00:16, 19.63it/s]
 58%|#####7    | 450/781 [00:23<00:16, 19.66it/s]
 58%|#####7    | 452/781 [00:24<00:16, 19.40it/s]
 58%|#####8    | 454/781 [00:24<00:16, 19.38it/s]
 58%|#####8    | 456/781 [00:24<00:16, 19.37it/s]
 59%|#####8    | 458/781 [00:24<00:16, 19.23it/s]
 59%|#####8    | 460/781 [00:24<00:16, 19.32it/s]
 59%|#####9    | 462/781 [00:24<00:16, 19.40it/s]
 59%|#####9    | 464/781 [00:24<00:16, 19.43it/s]
 60%|#####9    | 466/781 [00:24<00:16, 19.45it/s]
 60%|#####9    | 468/781 [00:24<00:16, 19.51it/s]
 60%|######    | 470/781 [00:24<00:15, 19.54it/s]
 60%|######    | 472/781 [00:25<00:15, 19.51it/s]
 61%|######    | 474/781 [00:25<00:15, 19.35it/s]
 61%|######    | 476/781 [00:25<00:15, 19.26it/s]
 61%|######1   | 478/781 [00:25<00:15, 19.35it/s]
 61%|######1   | 480/781 [00:25<00:15, 19.44it/s]
 62%|######1   | 482/781 [00:25<00:15, 19.45it/s]
 62%|######1   | 484/781 [00:25<00:15, 19.46it/s]
 62%|######2   | 486/781 [00:25<00:15, 19.39it/s]
 62%|######2   | 488/781 [00:25<00:15, 19.39it/s]
 63%|######2   | 490/781 [00:25<00:15, 19.30it/s]
 63%|######2   | 492/781 [00:26<00:14, 19.35it/s]
 63%|######3   | 494/781 [00:26<00:14, 19.34it/s]
 64%|######3   | 496/781 [00:26<00:14, 19.42it/s]
 64%|######3   | 498/781 [00:26<00:14, 19.17it/s]
 64%|######4   | 500/781 [00:26<00:14, 18.87it/s]
 64%|######4   | 502/781 [00:26<00:15, 18.58it/s]
 65%|######4   | 504/781 [00:26<00:15, 18.40it/s]
 65%|######4   | 506/781 [00:26<00:14, 18.43it/s]
 65%|######5   | 508/781 [00:26<00:14, 18.49it/s]
 65%|######5   | 510/781 [00:27<00:14, 18.50it/s]
 66%|######5   | 512/781 [00:27<00:14, 18.35it/s]
 66%|######5   | 514/781 [00:27<00:14, 18.38it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.63it/s]
 66%|######6   | 518/781 [00:27<00:13, 18.80it/s]
 67%|######6   | 520/781 [00:27<00:13, 18.85it/s]
 67%|######6   | 522/781 [00:27<00:13, 18.62it/s]
 67%|######7   | 524/781 [00:27<00:13, 18.67it/s]
 67%|######7   | 526/781 [00:27<00:13, 18.79it/s]
 68%|######7   | 528/781 [00:28<00:13, 18.87it/s]
 68%|######7   | 530/781 [00:28<00:13, 18.70it/s]
 68%|######8   | 532/781 [00:28<00:13, 18.82it/s]
 68%|######8   | 534/781 [00:28<00:13, 18.91it/s]
 69%|######8   | 536/781 [00:28<00:12, 19.00it/s]
 69%|######8   | 538/781 [00:28<00:12, 18.87it/s]
 69%|######9   | 540/781 [00:28<00:12, 19.14it/s]
 69%|######9   | 542/781 [00:28<00:12, 19.26it/s]
 70%|######9   | 544/781 [00:28<00:12, 19.35it/s]
 70%|######9   | 546/781 [00:28<00:12, 18.96it/s]
 70%|#######   | 548/781 [00:29<00:12, 18.91it/s]
 70%|#######   | 550/781 [00:29<00:12, 18.93it/s]
 71%|#######   | 552/781 [00:29<00:12, 19.02it/s]
 71%|#######   | 554/781 [00:29<00:11, 19.14it/s]
 71%|#######1  | 556/781 [00:29<00:11, 19.09it/s]
 71%|#######1  | 558/781 [00:29<00:11, 19.05it/s]
 72%|#######1  | 560/781 [00:29<00:11, 19.15it/s]
 72%|#######1  | 562/781 [00:29<00:11, 19.09it/s]
 72%|#######2  | 564/781 [00:29<00:11, 19.10it/s]
 72%|#######2  | 566/781 [00:29<00:11, 18.96it/s]
 73%|#######2  | 568/781 [00:30<00:11, 19.03it/s]
 73%|#######2  | 570/781 [00:30<00:11, 19.12it/s]
 73%|#######3  | 572/781 [00:30<00:11, 18.94it/s]
 73%|#######3  | 574/781 [00:30<00:11, 18.67it/s]
 74%|#######3  | 576/781 [00:30<00:11, 18.60it/s]
 74%|#######4  | 578/781 [00:30<00:10, 18.52it/s]
 74%|#######4  | 580/781 [00:30<00:11, 18.00it/s]
 75%|#######4  | 582/781 [00:30<00:10, 18.26it/s]
 75%|#######4  | 584/781 [00:30<00:10, 18.18it/s]
 75%|#######5  | 586/781 [00:31<00:10, 18.27it/s]
 75%|#######5  | 588/781 [00:31<00:10, 18.24it/s]
 76%|#######5  | 590/781 [00:31<00:10, 18.39it/s]
 76%|#######5  | 592/781 [00:31<00:10, 18.77it/s]
 76%|#######6  | 594/781 [00:31<00:09, 19.07it/s]
 76%|#######6  | 596/781 [00:31<00:09, 19.24it/s]
 77%|#######6  | 598/781 [00:31<00:09, 19.24it/s]
 77%|#######6  | 600/781 [00:31<00:09, 19.38it/s]
 77%|#######7  | 602/781 [00:31<00:09, 19.30it/s]
 77%|#######7  | 604/781 [00:32<00:09, 19.26it/s]
 78%|#######7  | 606/781 [00:32<00:09, 19.33it/s]
 78%|#######7  | 608/781 [00:32<00:08, 19.35it/s]
 78%|#######8  | 610/781 [00:32<00:08, 19.37it/s]
 78%|#######8  | 612/781 [00:32<00:08, 19.17it/s]
 79%|#######8  | 614/781 [00:32<00:08, 19.05it/s]
 79%|#######8  | 616/781 [00:32<00:08, 19.08it/s]
 79%|#######9  | 618/781 [00:32<00:08, 19.24it/s]
 79%|#######9  | 620/781 [00:32<00:08, 19.41it/s]
 80%|#######9  | 622/781 [00:32<00:08, 19.42it/s]
 80%|#######9  | 624/781 [00:33<00:08, 19.39it/s]
 80%|########  | 626/781 [00:33<00:07, 19.41it/s]
 80%|########  | 628/781 [00:33<00:07, 19.32it/s]
 81%|########  | 630/781 [00:33<00:07, 19.20it/s]
 81%|########  | 632/781 [00:33<00:07, 19.26it/s]
 81%|########1 | 634/781 [00:33<00:07, 19.42it/s]
 81%|########1 | 636/781 [00:33<00:07, 19.34it/s]
 82%|########1 | 638/781 [00:33<00:07, 19.51it/s]
 82%|########1 | 640/781 [00:33<00:07, 19.58it/s]
 82%|########2 | 642/781 [00:33<00:07, 19.39it/s]
 82%|########2 | 644/781 [00:34<00:07, 19.45it/s]
 83%|########2 | 646/781 [00:34<00:14,  9.14it/s]
 83%|########2 | 648/781 [00:34<00:12, 10.82it/s]
 83%|########3 | 650/781 [00:34<00:10, 12.47it/s]
 83%|########3 | 652/781 [00:34<00:09, 13.98it/s]
 84%|########3 | 654/781 [00:34<00:08, 15.02it/s]
 84%|########3 | 656/781 [00:35<00:07, 16.08it/s]
 84%|########4 | 658/781 [00:35<00:07, 17.01it/s]
 85%|########4 | 660/781 [00:35<00:06, 17.48it/s]
 85%|########4 | 662/781 [00:35<00:06, 18.10it/s]
 85%|########5 | 664/781 [00:35<00:06, 18.53it/s]
 85%|########5 | 666/781 [00:35<00:06, 18.78it/s]
 86%|########5 | 668/781 [00:35<00:05, 18.94it/s]
 86%|########5 | 670/781 [00:35<00:05, 18.97it/s]
 86%|########6 | 672/781 [00:35<00:05, 18.83it/s]
 86%|########6 | 674/781 [00:36<00:05, 18.66it/s]
 87%|########6 | 676/781 [00:36<00:05, 18.61it/s]
 87%|########6 | 678/781 [00:36<00:05, 18.70it/s]
 87%|########7 | 680/781 [00:36<00:05, 18.79it/s]
 87%|########7 | 682/781 [00:36<00:05, 18.87it/s]
 88%|########7 | 684/781 [00:36<00:05, 18.92it/s]
 88%|########7 | 686/781 [00:36<00:04, 19.16it/s]
 88%|########8 | 688/781 [00:36<00:04, 19.08it/s]
 88%|########8 | 690/781 [00:36<00:04, 19.24it/s]
 89%|########8 | 692/781 [00:36<00:04, 19.23it/s]
 89%|########8 | 694/781 [00:37<00:04, 19.13it/s]
 89%|########9 | 696/781 [00:37<00:04, 19.24it/s]
 89%|########9 | 698/781 [00:37<00:04, 19.29it/s]
 90%|########9 | 700/781 [00:37<00:04, 19.40it/s]
 90%|########9 | 702/781 [00:37<00:04, 19.51it/s]
 90%|######### | 704/781 [00:37<00:03, 19.54it/s]
 90%|######### | 706/781 [00:37<00:03, 19.48it/s]
 91%|######### | 708/781 [00:37<00:03, 19.46it/s]
 91%|######### | 710/781 [00:37<00:03, 19.37it/s]
 91%|#########1| 712/781 [00:38<00:03, 19.35it/s]
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100%|#########9| 780/781 [00:41<00:00, 18.93it/s]
100%|##########| 781/781 [00:41<00:00, 18.77it/s]



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 48%|####8     | 76/157 [00:04<00:04, 16.51it/s]
 50%|####9     | 78/157 [00:04<00:04, 16.60it/s]
 51%|#####     | 80/157 [00:04<00:04, 16.64it/s]
 52%|#####2    | 82/157 [00:05<00:04, 16.37it/s]
 54%|#####3    | 84/157 [00:05<00:04, 16.09it/s]
 55%|#####4    | 86/157 [00:05<00:04, 16.16it/s]
 56%|#####6    | 88/157 [00:05<00:04, 16.07it/s]
 57%|#####7    | 90/157 [00:05<00:04, 15.95it/s]
 59%|#####8    | 92/157 [00:05<00:04, 15.92it/s]
 60%|#####9    | 94/157 [00:05<00:03, 15.93it/s]
 61%|######1   | 96/157 [00:05<00:03, 15.95it/s]
 62%|######2   | 98/157 [00:06<00:03, 15.90it/s]
 64%|######3   | 100/157 [00:06<00:03, 15.86it/s]
 65%|######4   | 102/157 [00:06<00:03, 15.75it/s]
 66%|######6   | 104/157 [00:06<00:03, 15.77it/s]
 68%|######7   | 106/157 [00:06<00:03, 15.63it/s]
 69%|######8   | 108/157 [00:06<00:03, 15.62it/s]
 70%|#######   | 110/157 [00:06<00:02, 15.70it/s]
 71%|#######1  | 112/157 [00:06<00:02, 15.75it/s]
 73%|#######2  | 114/157 [00:07<00:02, 15.73it/s]
 74%|#######3  | 116/157 [00:07<00:02, 15.79it/s]
 75%|#######5  | 118/157 [00:07<00:02, 15.36it/s]
 76%|#######6  | 120/157 [00:07<00:02, 15.53it/s]
 78%|#######7  | 122/157 [00:07<00:02, 15.66it/s]
 79%|#######8  | 124/157 [00:07<00:02, 15.74it/s]
 80%|########  | 126/157 [00:07<00:01, 15.79it/s]
 82%|########1 | 128/157 [00:07<00:01, 15.93it/s]
 83%|########2 | 130/157 [00:08<00:01, 16.05it/s]
 84%|########4 | 132/157 [00:08<00:01, 16.18it/s]
 85%|########5 | 134/157 [00:08<00:01, 16.23it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.50it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.50it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.48it/s]
 90%|######### | 142/157 [00:08<00:00, 16.65it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.53it/s]
 93%|#########2| 146/157 [00:09<00:00, 16.47it/s]
 94%|#########4| 148/157 [00:09<00:00, 16.55it/s]
 96%|#########5| 150/157 [00:09<00:00, 16.45it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.47it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.26it/s]
 99%|#########9| 156/157 [00:09<00:00, 16.31it/s]
100%|##########| 157/157 [00:09<00:00, 16.16it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:46, 16.89it/s]
  1%|          | 4/781 [00:00<00:47, 16.40it/s]
  1%|          | 6/781 [00:00<00:44, 17.33it/s]
  1%|1         | 8/781 [00:00<00:43, 17.89it/s]
  1%|1         | 10/781 [00:00<00:42, 18.02it/s]
  2%|1         | 12/781 [00:00<00:41, 18.38it/s]
  2%|1         | 14/781 [00:00<00:41, 18.51it/s]
  2%|2         | 16/781 [00:00<00:41, 18.46it/s]
  2%|2         | 18/781 [00:00<00:41, 18.32it/s]
  3%|2         | 20/781 [00:01<00:41, 18.44it/s]
  3%|2         | 22/781 [00:01<00:41, 18.32it/s]
  3%|3         | 24/781 [00:01<00:41, 18.14it/s]
  3%|3         | 26/781 [00:01<00:42, 17.90it/s]
  4%|3         | 28/781 [00:01<00:41, 18.03it/s]
  4%|3         | 30/781 [00:01<00:41, 17.99it/s]
  4%|4         | 32/781 [00:01<00:41, 18.06it/s]
  4%|4         | 34/781 [00:01<00:41, 17.95it/s]
  5%|4         | 36/781 [00:01<00:41, 18.15it/s]
  5%|4         | 38/781 [00:02<00:41, 18.03it/s]
  5%|5         | 40/781 [00:02<00:41, 18.05it/s]
  5%|5         | 42/781 [00:02<00:41, 17.89it/s]
  6%|5         | 44/781 [00:02<00:40, 18.04it/s]
  6%|5         | 46/781 [00:02<00:40, 17.99it/s]
  6%|6         | 48/781 [00:02<00:40, 18.21it/s]
  6%|6         | 50/781 [00:02<00:39, 18.37it/s]
  7%|6         | 52/781 [00:02<00:40, 18.18it/s]
  7%|6         | 54/781 [00:02<00:39, 18.30it/s]
  7%|7         | 56/781 [00:03<00:39, 18.42it/s]
  7%|7         | 58/781 [00:03<00:38, 18.56it/s]
  8%|7         | 60/781 [00:03<00:38, 18.64it/s]
  8%|7         | 62/781 [00:03<00:38, 18.66it/s]
  8%|8         | 64/781 [00:03<00:38, 18.61it/s]
  8%|8         | 66/781 [00:03<00:38, 18.53it/s]
  9%|8         | 68/781 [00:03<00:38, 18.65it/s]
  9%|8         | 70/781 [00:03<00:38, 18.69it/s]
  9%|9         | 72/781 [00:03<00:38, 18.44it/s]
  9%|9         | 74/781 [00:04<00:38, 18.42it/s]
 10%|9         | 76/781 [00:04<00:38, 18.24it/s]
 10%|9         | 78/781 [00:04<00:38, 18.35it/s]
 10%|#         | 80/781 [00:04<00:38, 18.40it/s]
 10%|#         | 82/781 [00:04<00:37, 18.60it/s]
 11%|#         | 84/781 [00:04<00:37, 18.76it/s]
 11%|#1        | 86/781 [00:04<00:36, 18.90it/s]
 11%|#1        | 88/781 [00:04<00:36, 18.97it/s]
 12%|#1        | 90/781 [00:04<00:36, 18.97it/s]
 12%|#1        | 92/781 [00:05<00:36, 18.99it/s]
 12%|#2        | 94/781 [00:05<00:36, 18.98it/s]
 12%|#2        | 96/781 [00:05<00:36, 18.95it/s]
 13%|#2        | 98/781 [00:05<00:36, 18.92it/s]
 13%|#2        | 100/781 [00:05<00:35, 18.94it/s]
 13%|#3        | 102/781 [00:05<00:35, 18.97it/s]
 13%|#3        | 104/781 [00:05<00:35, 18.97it/s]
 14%|#3        | 106/781 [00:05<00:35, 18.97it/s]
 14%|#3        | 108/781 [00:05<00:35, 19.01it/s]
 14%|#4        | 110/781 [00:05<00:35, 19.02it/s]
 14%|#4        | 112/781 [00:06<00:35, 19.03it/s]
 15%|#4        | 114/781 [00:06<00:35, 18.97it/s]
 15%|#4        | 116/781 [00:06<00:35, 18.77it/s]
 15%|#5        | 118/781 [00:06<00:36, 18.39it/s]
 15%|#5        | 120/781 [00:06<00:36, 18.35it/s]
 16%|#5        | 122/781 [00:06<00:35, 18.50it/s]
 16%|#5        | 124/781 [00:06<00:35, 18.66it/s]
 16%|#6        | 126/781 [00:06<00:34, 18.78it/s]
 16%|#6        | 128/781 [00:06<00:34, 18.71it/s]
 17%|#6        | 130/781 [00:07<00:34, 18.66it/s]
 17%|#6        | 132/781 [00:07<00:35, 18.38it/s]
 17%|#7        | 134/781 [00:07<00:35, 18.46it/s]
 17%|#7        | 136/781 [00:07<00:35, 18.30it/s]
 18%|#7        | 138/781 [00:07<00:35, 18.35it/s]
 18%|#7        | 140/781 [00:07<00:34, 18.41it/s]
 18%|#8        | 142/781 [00:07<00:34, 18.41it/s]
 18%|#8        | 144/781 [00:07<00:34, 18.48it/s]
 19%|#8        | 146/781 [00:07<00:34, 18.59it/s]
 19%|#8        | 148/781 [00:08<00:34, 18.59it/s]
 19%|#9        | 150/781 [00:08<00:33, 18.66it/s]
 19%|#9        | 152/781 [00:08<00:33, 18.69it/s]
 20%|#9        | 154/781 [00:08<00:33, 18.76it/s]
 20%|#9        | 156/781 [00:08<00:33, 18.68it/s]
 20%|##        | 158/781 [00:08<00:33, 18.67it/s]
 20%|##        | 160/781 [00:08<00:33, 18.71it/s]
 21%|##        | 162/781 [00:08<00:33, 18.70it/s]
 21%|##        | 164/781 [00:08<00:33, 18.63it/s]
 21%|##1       | 166/781 [00:08<00:32, 18.68it/s]
 22%|##1       | 168/781 [00:09<00:32, 18.65it/s]
 22%|##1       | 170/781 [00:09<00:32, 18.57it/s]
 22%|##2       | 172/781 [00:09<00:32, 18.47it/s]
 22%|##2       | 174/781 [00:09<00:32, 18.64it/s]
 23%|##2       | 176/781 [00:09<00:32, 18.46it/s]
 23%|##2       | 178/781 [00:09<00:32, 18.49it/s]
 23%|##3       | 180/781 [00:09<00:32, 18.40it/s]
 23%|##3       | 182/781 [00:09<00:32, 18.43it/s]
 24%|##3       | 184/781 [00:09<00:32, 18.56it/s]
 24%|##3       | 186/781 [00:10<00:31, 18.66it/s]
 24%|##4       | 188/781 [00:10<00:31, 18.62it/s]
 24%|##4       | 190/781 [00:10<00:31, 18.54it/s]
 25%|##4       | 192/781 [00:10<00:31, 18.53it/s]
 25%|##4       | 194/781 [00:10<00:31, 18.48it/s]
 25%|##5       | 196/781 [00:10<00:31, 18.45it/s]
 25%|##5       | 198/781 [00:10<00:31, 18.54it/s]
 26%|##5       | 200/781 [00:10<00:31, 18.43it/s]
 26%|##5       | 202/781 [00:10<00:31, 18.57it/s]
 26%|##6       | 204/781 [00:11<00:30, 18.62it/s]
 26%|##6       | 206/781 [00:11<00:30, 18.66it/s]
 27%|##6       | 208/781 [00:11<00:30, 18.68it/s]
 27%|##6       | 210/781 [00:11<00:30, 18.47it/s]
 27%|##7       | 212/781 [00:11<00:31, 18.19it/s]
 27%|##7       | 214/781 [00:11<00:30, 18.42it/s]
 28%|##7       | 216/781 [00:11<00:30, 18.34it/s]
 28%|##7       | 218/781 [00:11<00:30, 18.50it/s]
 28%|##8       | 220/781 [00:11<00:30, 18.57it/s]
 28%|##8       | 222/781 [00:12<00:30, 18.53it/s]
 29%|##8       | 224/781 [00:12<00:29, 18.64it/s]
 29%|##8       | 226/781 [00:12<00:29, 18.55it/s]
 29%|##9       | 228/781 [00:12<00:29, 18.74it/s]
 29%|##9       | 230/781 [00:12<00:29, 18.93it/s]
 30%|##9       | 232/781 [00:12<00:29, 18.56it/s]
 30%|##9       | 234/781 [00:12<00:29, 18.47it/s]
 30%|###       | 236/781 [00:12<00:29, 18.63it/s]
 30%|###       | 238/781 [00:12<00:29, 18.53it/s]
 31%|###       | 240/781 [00:12<00:28, 18.71it/s]
 31%|###       | 242/781 [00:13<00:28, 18.92it/s]
 31%|###1      | 244/781 [00:13<00:28, 19.15it/s]
 31%|###1      | 246/781 [00:13<00:27, 19.32it/s]
 32%|###1      | 248/781 [00:13<00:27, 19.46it/s]
 32%|###2      | 250/781 [00:13<00:27, 19.29it/s]
 32%|###2      | 252/781 [00:13<00:27, 19.08it/s]
 33%|###2      | 254/781 [00:13<00:27, 19.12it/s]
 33%|###2      | 256/781 [00:13<00:27, 19.15it/s]
 33%|###3      | 258/781 [00:13<00:27, 19.25it/s]
 33%|###3      | 260/781 [00:14<00:26, 19.35it/s]
 34%|###3      | 262/781 [00:14<00:26, 19.23it/s]
 34%|###3      | 264/781 [00:14<00:26, 19.30it/s]
 34%|###4      | 266/781 [00:14<00:26, 19.23it/s]
 34%|###4      | 268/781 [00:14<00:26, 19.32it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.38it/s]
 35%|###4      | 272/781 [00:14<00:26, 19.47it/s]
 35%|###5      | 274/781 [00:14<00:26, 19.35it/s]
 35%|###5      | 276/781 [00:14<00:26, 19.25it/s]
 36%|###5      | 278/781 [00:14<00:26, 19.14it/s]
 36%|###5      | 280/781 [00:15<00:26, 19.07it/s]
 36%|###6      | 282/781 [00:15<00:26, 19.04it/s]
 36%|###6      | 284/781 [00:15<00:25, 19.21it/s]
 37%|###6      | 286/781 [00:15<00:25, 19.27it/s]
 37%|###6      | 288/781 [00:15<00:25, 19.33it/s]
 37%|###7      | 290/781 [00:15<00:25, 19.00it/s]
 37%|###7      | 292/781 [00:15<00:25, 19.24it/s]
 38%|###7      | 294/781 [00:15<00:25, 19.40it/s]
 38%|###7      | 296/781 [00:15<00:25, 19.21it/s]
 38%|###8      | 298/781 [00:15<00:24, 19.33it/s]
 38%|###8      | 300/781 [00:16<00:24, 19.43it/s]
 39%|###8      | 302/781 [00:16<00:24, 19.50it/s]
 39%|###8      | 304/781 [00:16<00:24, 19.56it/s]
 39%|###9      | 306/781 [00:16<00:24, 19.55it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.64it/s]
 40%|###9      | 310/781 [00:16<00:23, 19.70it/s]
 40%|###9      | 312/781 [00:16<00:23, 19.73it/s]
 40%|####      | 314/781 [00:16<00:23, 19.63it/s]
 40%|####      | 316/781 [00:16<00:23, 19.65it/s]
 41%|####      | 318/781 [00:16<00:23, 19.64it/s]
 41%|####      | 320/781 [00:17<00:23, 19.67it/s]
 41%|####1     | 322/781 [00:17<00:23, 19.64it/s]
 41%|####1     | 324/781 [00:17<00:23, 19.22it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.34it/s]
 42%|####1     | 328/781 [00:17<00:23, 19.40it/s]
 42%|####2     | 330/781 [00:17<00:23, 19.48it/s]
 43%|####2     | 332/781 [00:17<00:22, 19.56it/s]
 43%|####2     | 334/781 [00:17<00:22, 19.65it/s]
 43%|####3     | 336/781 [00:17<00:22, 19.53it/s]
 43%|####3     | 338/781 [00:18<00:22, 19.44it/s]
 44%|####3     | 340/781 [00:18<00:22, 19.47it/s]
 44%|####3     | 342/781 [00:18<00:22, 19.44it/s]
 44%|####4     | 344/781 [00:18<00:22, 19.35it/s]
 44%|####4     | 346/781 [00:18<00:22, 19.39it/s]
 45%|####4     | 348/781 [00:18<00:22, 19.40it/s]
 45%|####4     | 350/781 [00:18<00:22, 19.41it/s]
 45%|####5     | 352/781 [00:18<00:22, 18.95it/s]
 45%|####5     | 354/781 [00:18<00:22, 19.14it/s]
 46%|####5     | 356/781 [00:18<00:22, 19.17it/s]
 46%|####5     | 358/781 [00:19<00:21, 19.30it/s]
 46%|####6     | 360/781 [00:19<00:21, 19.44it/s]
 46%|####6     | 362/781 [00:19<00:21, 19.36it/s]
 47%|####6     | 364/781 [00:19<00:21, 19.48it/s]
 47%|####6     | 366/781 [00:19<00:21, 19.60it/s]
 47%|####7     | 368/781 [00:19<00:20, 19.70it/s]
 47%|####7     | 370/781 [00:19<00:20, 19.64it/s]
 48%|####7     | 372/781 [00:19<00:21, 19.47it/s]
 48%|####7     | 374/781 [00:19<00:21, 19.37it/s]
 48%|####8     | 376/781 [00:19<00:20, 19.41it/s]
 48%|####8     | 378/781 [00:20<00:20, 19.49it/s]
 49%|####8     | 380/781 [00:20<00:20, 19.40it/s]
 49%|####8     | 382/781 [00:20<00:20, 19.35it/s]
 49%|####9     | 384/781 [00:20<00:20, 19.35it/s]
 49%|####9     | 386/781 [00:20<00:20, 19.48it/s]
 50%|####9     | 388/781 [00:20<00:20, 19.50it/s]
 50%|####9     | 390/781 [00:20<00:19, 19.61it/s]
 50%|#####     | 392/781 [00:20<00:19, 19.65it/s]
 50%|#####     | 394/781 [00:20<00:19, 19.65it/s]
 51%|#####     | 396/781 [00:21<00:19, 19.67it/s]
 51%|#####     | 398/781 [00:21<00:19, 19.64it/s]
 51%|#####1    | 400/781 [00:21<00:19, 19.68it/s]
 51%|#####1    | 402/781 [00:21<00:19, 19.19it/s]
 52%|#####1    | 404/781 [00:21<00:19, 19.26it/s]
 52%|#####1    | 406/781 [00:21<00:19, 19.28it/s]
 52%|#####2    | 408/781 [00:21<00:19, 19.13it/s]
 52%|#####2    | 410/781 [00:21<00:19, 19.21it/s]
 53%|#####2    | 412/781 [00:21<00:19, 19.17it/s]
 53%|#####3    | 414/781 [00:21<00:19, 18.75it/s]
 53%|#####3    | 416/781 [00:22<00:19, 18.48it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.66it/s]
 54%|#####3    | 420/781 [00:22<00:19, 18.49it/s]
 54%|#####4    | 422/781 [00:22<00:19, 18.15it/s]
 54%|#####4    | 424/781 [00:22<00:19, 18.22it/s]
 55%|#####4    | 426/781 [00:22<00:19, 17.94it/s]
 55%|#####4    | 428/781 [00:22<00:19, 17.66it/s]
 55%|#####5    | 430/781 [00:22<00:19, 17.78it/s]
 55%|#####5    | 432/781 [00:22<00:19, 17.72it/s]
 56%|#####5    | 434/781 [00:23<00:19, 18.14it/s]
 56%|#####5    | 436/781 [00:23<00:19, 18.09it/s]
 56%|#####6    | 438/781 [00:23<00:18, 18.13it/s]
 56%|#####6    | 440/781 [00:23<00:19, 17.86it/s]
 57%|#####6    | 442/781 [00:23<00:18, 18.20it/s]
 57%|#####6    | 444/781 [00:23<00:18, 18.23it/s]
 57%|#####7    | 446/781 [00:23<00:18, 18.10it/s]
 57%|#####7    | 448/781 [00:23<00:18, 18.13it/s]
 58%|#####7    | 450/781 [00:23<00:18, 18.21it/s]
 58%|#####7    | 452/781 [00:24<00:18, 18.15it/s]
 58%|#####8    | 454/781 [00:24<00:18, 18.13it/s]
 58%|#####8    | 456/781 [00:24<00:17, 18.14it/s]
 59%|#####8    | 458/781 [00:24<00:17, 18.30it/s]
 59%|#####8    | 460/781 [00:24<00:17, 18.51it/s]
 59%|#####9    | 462/781 [00:24<00:17, 18.64it/s]
 59%|#####9    | 464/781 [00:24<00:17, 18.60it/s]
 60%|#####9    | 466/781 [00:24<00:17, 18.41it/s]
 60%|#####9    | 468/781 [00:24<00:16, 18.62it/s]
 60%|######    | 470/781 [00:25<00:16, 18.52it/s]
 60%|######    | 472/781 [00:25<00:16, 18.50it/s]
 61%|######    | 474/781 [00:25<00:16, 18.66it/s]
 61%|######    | 476/781 [00:25<00:16, 18.63it/s]
 61%|######1   | 478/781 [00:25<00:16, 18.11it/s]
 61%|######1   | 480/781 [00:25<00:16, 18.38it/s]
 62%|######1   | 482/781 [00:25<00:16, 18.38it/s]
 62%|######1   | 484/781 [00:25<00:16, 17.94it/s]
 62%|######2   | 486/781 [00:25<00:16, 18.03it/s]
 62%|######2   | 488/781 [00:26<00:16, 18.25it/s]
 63%|######2   | 490/781 [00:26<00:15, 18.48it/s]
 63%|######2   | 492/781 [00:26<00:15, 18.51it/s]
 63%|######3   | 494/781 [00:26<00:15, 18.58it/s]
 64%|######3   | 496/781 [00:26<00:15, 18.66it/s]
 64%|######3   | 498/781 [00:26<00:15, 18.67it/s]
 64%|######4   | 500/781 [00:26<00:15, 18.73it/s]
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100%|##########| 781/781 [00:41<00:00, 18.83it/s]




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Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.15s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.15s/it]
Validation Progress:  70%|#######   | 31/44 [00:33<00:14,  1.15s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.12s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.12s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.12s/it]
Validation Progress:  73%|#######2  | 32/44 [00:34<00:13,  1.12s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  75%|#######5  | 33/44 [00:35<00:12,  1.10s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.18s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.19s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.18s/it]
Validation Progress:  77%|#######7  | 34/44 [00:37<00:11,  1.19s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.17s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.17s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.17s/it]
Validation Progress:  80%|#######9  | 35/44 [00:38<00:10,  1.17s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.18s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.18s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.18s/it]
Validation Progress:  82%|########1 | 36/44 [00:39<00:09,  1.18s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.21s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.21s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.21s/it]
Validation Progress:  84%|########4 | 37/44 [00:40<00:08,  1.21s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.22s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.22s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.22s/it]
Validation Progress:  86%|########6 | 38/44 [00:41<00:07,  1.22s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  89%|########8 | 39/44 [00:43<00:05,  1.17s/it]
Validation Progress:  89%|########8 | 39/44 [00:42<00:05,  1.17s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.17s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.17s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.17s/it]
Validation Progress:  91%|######### | 40/44 [00:44<00:04,  1.17s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  93%|#########3| 41/44 [00:45<00:03,  1.20s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  95%|#########5| 42/44 [00:46<00:02,  1.19s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress:  98%|#########7| 43/44 [00:47<00:01,  1.20s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.01s/it]
Validation Progress: 100%|##########| 44/44 [00:48<00:00,  1.10s/it]

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:16<00:00, 16.03s/it]
100%|##########| 1/1 [00:16<00:00, 16.03s/it]

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|1         | 2/157 [00:00<00:09, 15.73it/s]
  3%|2         | 4/157 [00:00<00:09, 15.98it/s]
  4%|3         | 6/157 [00:00<00:09, 16.10it/s]
  5%|5         | 8/157 [00:00<00:09, 16.22it/s]
  6%|6         | 10/157 [00:00<00:09, 16.14it/s]
  8%|7         | 12/157 [00:00<00:08, 16.37it/s]
  9%|8         | 14/157 [00:00<00:08, 16.34it/s]
 10%|#         | 16/157 [00:00<00:08, 16.40it/s]
 11%|#1        | 18/157 [00:01<00:08, 16.38it/s]
 13%|#2        | 20/157 [00:01<00:08, 16.24it/s]
 14%|#4        | 22/157 [00:01<00:08, 16.31it/s]
 15%|#5        | 24/157 [00:01<00:08, 16.29it/s]
 17%|#6        | 26/157 [00:01<00:07, 16.38it/s]
 18%|#7        | 28/157 [00:01<00:07, 16.49it/s]
 19%|#9        | 30/157 [00:01<00:07, 16.58it/s]
 20%|##        | 32/157 [00:01<00:07, 16.29it/s]
 22%|##1       | 34/157 [00:02<00:07, 16.34it/s]
 23%|##2       | 36/157 [00:02<00:07, 16.35it/s]
 24%|##4       | 38/157 [00:02<00:07, 16.43it/s]
 25%|##5       | 40/157 [00:02<00:07, 16.51it/s]
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 28%|##8       | 44/157 [00:02<00:06, 16.49it/s]
 29%|##9       | 46/157 [00:02<00:06, 16.40it/s]
 31%|###       | 48/157 [00:02<00:06, 16.21it/s]
 32%|###1      | 50/157 [00:03<00:06, 16.10it/s]
 33%|###3      | 52/157 [00:03<00:06, 16.00it/s]
 34%|###4      | 54/157 [00:03<00:06, 16.02it/s]
 36%|###5      | 56/157 [00:03<00:06, 16.07it/s]
 37%|###6      | 58/157 [00:03<00:06, 16.34it/s]
 38%|###8      | 60/157 [00:03<00:05, 16.50it/s]
 39%|###9      | 62/157 [00:03<00:05, 16.63it/s]
 41%|####      | 64/157 [00:03<00:05, 16.72it/s]
 42%|####2     | 66/157 [00:04<00:05, 16.66it/s]
 43%|####3     | 68/157 [00:04<00:05, 16.72it/s]
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 50%|####9     | 78/157 [00:05<00:05, 13.42it/s]
 51%|#####     | 80/157 [00:05<00:05, 14.30it/s]
 52%|#####2    | 82/157 [00:05<00:05, 14.89it/s]
 54%|#####3    | 84/157 [00:05<00:04, 15.44it/s]
 55%|#####4    | 86/157 [00:05<00:04, 15.79it/s]
 56%|#####6    | 88/157 [00:05<00:04, 16.02it/s]
 57%|#####7    | 90/157 [00:05<00:04, 16.07it/s]
 59%|#####8    | 92/157 [00:06<00:04, 16.15it/s]
 60%|#####9    | 94/157 [00:06<00:03, 16.14it/s]
 61%|######1   | 96/157 [00:06<00:03, 16.25it/s]
 62%|######2   | 98/157 [00:06<00:03, 16.34it/s]
 64%|######3   | 100/157 [00:06<00:03, 16.38it/s]
 65%|######4   | 102/157 [00:06<00:03, 16.37it/s]
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 69%|######8   | 108/157 [00:07<00:03, 16.09it/s]
 70%|#######   | 110/157 [00:07<00:02, 16.24it/s]
 71%|#######1  | 112/157 [00:07<00:02, 16.25it/s]
 73%|#######2  | 114/157 [00:07<00:02, 16.10it/s]
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 75%|#######5  | 118/157 [00:07<00:02, 16.26it/s]
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 80%|########  | 126/157 [00:08<00:01, 16.39it/s]
 82%|########1 | 128/157 [00:08<00:01, 16.35it/s]
 83%|########2 | 130/157 [00:08<00:01, 16.24it/s]
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 85%|########5 | 134/157 [00:08<00:01, 16.25it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.34it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.35it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.40it/s]
 90%|######### | 142/157 [00:09<00:00, 16.20it/s]
 92%|#########1| 144/157 [00:09<00:00, 16.19it/s]
 93%|#########2| 146/157 [00:09<00:00, 16.26it/s]
 94%|#########4| 148/157 [00:09<00:00, 16.05it/s]
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 99%|#########9| 156/157 [00:09<00:00, 15.91it/s]
100%|##########| 157/157 [00:09<00:00, 15.71it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
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  1%|          | 4/781 [00:00<00:46, 16.81it/s]
  1%|          | 6/781 [00:00<00:43, 17.63it/s]
  1%|1         | 8/781 [00:00<00:43, 17.96it/s]
  1%|1         | 10/781 [00:00<00:42, 18.00it/s]
  2%|1         | 12/781 [00:00<00:42, 18.15it/s]
  2%|1         | 14/781 [00:00<00:41, 18.36it/s]
  2%|2         | 16/781 [00:00<00:41, 18.31it/s]
  2%|2         | 18/781 [00:01<00:41, 18.30it/s]
  3%|2         | 20/781 [00:01<00:41, 18.41it/s]
  3%|2         | 22/781 [00:01<00:41, 18.51it/s]
  3%|3         | 24/781 [00:01<00:40, 18.62it/s]
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  6%|5         | 44/781 [00:02<00:38, 18.93it/s]
  6%|5         | 46/781 [00:02<00:38, 19.00it/s]
  6%|6         | 48/781 [00:02<00:38, 18.95it/s]
  6%|6         | 50/781 [00:02<00:38, 19.06it/s]
  7%|6         | 52/781 [00:02<00:37, 19.32it/s]
  7%|6         | 54/781 [00:02<00:37, 19.36it/s]
  7%|7         | 56/781 [00:03<00:37, 19.38it/s]
  7%|7         | 58/781 [00:03<00:37, 19.14it/s]
  8%|7         | 60/781 [00:03<00:37, 19.05it/s]
  8%|7         | 62/781 [00:03<00:37, 19.11it/s]
  8%|8         | 64/781 [00:03<00:37, 19.12it/s]
  8%|8         | 66/781 [00:03<00:37, 19.07it/s]
  9%|8         | 68/781 [00:03<00:37, 19.21it/s]
  9%|8         | 70/781 [00:03<00:36, 19.29it/s]
  9%|9         | 72/781 [00:03<00:37, 19.14it/s]
  9%|9         | 74/781 [00:03<00:36, 19.19it/s]
 10%|9         | 76/781 [00:04<00:36, 19.29it/s]
 10%|9         | 78/781 [00:04<00:36, 19.27it/s]
 10%|#         | 80/781 [00:04<00:36, 19.27it/s]
 10%|#         | 82/781 [00:04<00:36, 19.32it/s]
 11%|#         | 84/781 [00:04<00:35, 19.46it/s]
 11%|#1        | 86/781 [00:04<00:35, 19.53it/s]
 11%|#1        | 88/781 [00:04<00:35, 19.49it/s]
 12%|#1        | 90/781 [00:04<00:35, 19.24it/s]
 12%|#1        | 92/781 [00:04<00:35, 19.39it/s]
 12%|#2        | 94/781 [00:05<00:35, 19.35it/s]
 12%|#2        | 96/781 [00:05<00:35, 19.44it/s]
 13%|#2        | 98/781 [00:05<00:34, 19.53it/s]
 13%|#2        | 100/781 [00:05<00:34, 19.58it/s]
 13%|#3        | 102/781 [00:05<00:34, 19.49it/s]
 13%|#3        | 104/781 [00:05<00:34, 19.40it/s]
 14%|#3        | 106/781 [00:05<00:34, 19.44it/s]
 14%|#3        | 108/781 [00:05<00:34, 19.42it/s]
 14%|#4        | 110/781 [00:05<00:34, 19.27it/s]
 14%|#4        | 112/781 [00:05<00:34, 19.36it/s]
 15%|#4        | 114/781 [00:06<00:34, 19.45it/s]
 15%|#4        | 116/781 [00:06<00:34, 19.50it/s]
 15%|#5        | 118/781 [00:06<00:33, 19.54it/s]
 15%|#5        | 120/781 [00:06<00:33, 19.57it/s]
 16%|#5        | 122/781 [00:06<00:33, 19.52it/s]
 16%|#5        | 124/781 [00:06<00:33, 19.55it/s]
 16%|#6        | 126/781 [00:06<00:33, 19.62it/s]
 16%|#6        | 128/781 [00:06<00:33, 19.70it/s]
 17%|#6        | 130/781 [00:06<00:33, 19.61it/s]
 17%|#6        | 132/781 [00:06<00:33, 19.65it/s]
 17%|#7        | 134/781 [00:07<00:33, 19.56it/s]
 17%|#7        | 136/781 [00:07<00:32, 19.60it/s]
 18%|#7        | 138/781 [00:07<00:32, 19.59it/s]
 18%|#7        | 140/781 [00:07<00:32, 19.47it/s]
 18%|#8        | 142/781 [00:07<00:32, 19.42it/s]
 18%|#8        | 144/781 [00:07<00:32, 19.42it/s]
 19%|#8        | 146/781 [00:07<00:32, 19.32it/s]
 19%|#8        | 148/781 [00:07<00:33, 19.11it/s]
 19%|#9        | 150/781 [00:07<00:33, 18.92it/s]
 19%|#9        | 152/781 [00:07<00:33, 18.92it/s]
 20%|#9        | 154/781 [00:08<00:33, 18.93it/s]
 20%|#9        | 156/781 [00:08<00:32, 18.95it/s]
 20%|##        | 158/781 [00:08<00:32, 18.93it/s]
 20%|##        | 160/781 [00:08<00:32, 18.95it/s]
 21%|##        | 162/781 [00:08<00:32, 19.19it/s]
 21%|##        | 164/781 [00:08<00:31, 19.38it/s]
 21%|##1       | 166/781 [00:08<00:31, 19.45it/s]
 22%|##1       | 168/781 [00:08<00:32, 18.83it/s]
 22%|##1       | 170/781 [00:08<00:32, 18.85it/s]
 22%|##2       | 172/781 [00:09<00:32, 18.74it/s]
 22%|##2       | 174/781 [00:09<00:32, 18.81it/s]
 23%|##2       | 176/781 [00:09<00:31, 18.91it/s]
 23%|##2       | 178/781 [00:09<00:31, 18.93it/s]
 23%|##3       | 180/781 [00:09<00:31, 19.06it/s]
 23%|##3       | 182/781 [00:09<00:31, 19.06it/s]
 24%|##3       | 184/781 [00:09<00:31, 19.19it/s]
 24%|##3       | 186/781 [00:09<00:31, 19.18it/s]
 24%|##4       | 188/781 [00:09<00:30, 19.28it/s]
 24%|##4       | 190/781 [00:09<00:30, 19.25it/s]
 25%|##4       | 192/781 [00:10<00:30, 19.10it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.22it/s]
 25%|##5       | 196/781 [00:10<00:30, 19.34it/s]
 25%|##5       | 198/781 [00:10<00:29, 19.46it/s]
 26%|##5       | 200/781 [00:10<00:29, 19.52it/s]
 26%|##5       | 202/781 [00:10<00:29, 19.53it/s]
 26%|##6       | 204/781 [00:10<00:29, 19.31it/s]
 26%|##6       | 206/781 [00:10<00:29, 19.23it/s]
 27%|##6       | 208/781 [00:10<00:29, 19.30it/s]
 27%|##6       | 210/781 [00:11<00:29, 19.37it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.44it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.31it/s]
 28%|##7       | 216/781 [00:11<00:29, 19.38it/s]
 28%|##7       | 218/781 [00:11<00:29, 19.35it/s]
 28%|##8       | 220/781 [00:11<00:29, 19.24it/s]
 28%|##8       | 222/781 [00:11<00:29, 19.21it/s]
 29%|##8       | 224/781 [00:11<00:28, 19.25it/s]
 29%|##8       | 226/781 [00:11<00:28, 19.25it/s]
 29%|##9       | 228/781 [00:11<00:28, 19.20it/s]
 29%|##9       | 230/781 [00:12<00:28, 19.17it/s]
 30%|##9       | 232/781 [00:12<00:28, 19.25it/s]
 30%|##9       | 234/781 [00:12<00:28, 19.27it/s]
 30%|###       | 236/781 [00:12<00:28, 19.33it/s]
 30%|###       | 238/781 [00:12<00:28, 19.36it/s]
 31%|###       | 240/781 [00:12<00:27, 19.34it/s]
 31%|###       | 242/781 [00:12<00:27, 19.34it/s]
 31%|###1      | 244/781 [00:12<00:28, 19.08it/s]
 31%|###1      | 246/781 [00:12<00:27, 19.28it/s]
 32%|###1      | 248/781 [00:12<00:28, 18.96it/s]
 32%|###2      | 250/781 [00:13<00:28, 18.96it/s]
 32%|###2      | 252/781 [00:13<00:27, 18.90it/s]
 33%|###2      | 254/781 [00:13<00:28, 18.81it/s]
 33%|###2      | 256/781 [00:13<00:27, 18.92it/s]
 33%|###3      | 258/781 [00:13<00:27, 19.21it/s]
 33%|###3      | 260/781 [00:13<00:26, 19.40it/s]
 34%|###3      | 262/781 [00:13<00:26, 19.47it/s]
 34%|###3      | 264/781 [00:13<00:26, 19.45it/s]
 34%|###4      | 266/781 [00:13<00:26, 19.38it/s]
 34%|###4      | 268/781 [00:14<00:26, 19.19it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.11it/s]
 35%|###4      | 272/781 [00:14<00:26, 19.15it/s]
 35%|###5      | 274/781 [00:14<00:26, 19.13it/s]
 35%|###5      | 276/781 [00:14<00:26, 19.26it/s]
 36%|###5      | 278/781 [00:14<00:26, 19.32it/s]
 36%|###5      | 280/781 [00:14<00:25, 19.43it/s]
 36%|###6      | 282/781 [00:14<00:25, 19.53it/s]
 36%|###6      | 284/781 [00:14<00:25, 19.62it/s]
 37%|###6      | 286/781 [00:14<00:25, 19.52it/s]
 37%|###6      | 288/781 [00:15<00:25, 19.48it/s]
 37%|###7      | 290/781 [00:15<00:25, 19.51it/s]
 37%|###7      | 292/781 [00:15<00:25, 19.55it/s]
 38%|###7      | 294/781 [00:15<00:24, 19.57it/s]
 38%|###7      | 296/781 [00:15<00:24, 19.42it/s]
 38%|###8      | 298/781 [00:15<00:25, 19.22it/s]
 38%|###8      | 300/781 [00:15<00:25, 19.12it/s]
 39%|###8      | 302/781 [00:15<00:25, 19.13it/s]
 39%|###8      | 304/781 [00:15<00:25, 19.04it/s]
 39%|###9      | 306/781 [00:15<00:24, 19.14it/s]
 39%|###9      | 308/781 [00:16<00:24, 19.35it/s]
 40%|###9      | 310/781 [00:16<00:24, 19.16it/s]
 40%|###9      | 312/781 [00:16<00:25, 18.73it/s]
 40%|####      | 314/781 [00:16<00:25, 18.64it/s]
 40%|####      | 316/781 [00:16<00:24, 18.94it/s]
 41%|####      | 318/781 [00:16<00:24, 19.13it/s]
 41%|####      | 320/781 [00:16<00:23, 19.29it/s]
 41%|####1     | 322/781 [00:16<00:23, 19.36it/s]
 41%|####1     | 324/781 [00:16<00:23, 19.44it/s]
 42%|####1     | 326/781 [00:17<00:23, 19.42it/s]
 42%|####1     | 328/781 [00:17<00:23, 19.46it/s]
 42%|####2     | 330/781 [00:17<00:23, 19.53it/s]
 43%|####2     | 332/781 [00:17<00:22, 19.55it/s]
 43%|####2     | 334/781 [00:17<00:22, 19.48it/s]
 43%|####3     | 336/781 [00:17<00:22, 19.56it/s]
 43%|####3     | 338/781 [00:17<00:22, 19.57it/s]
 44%|####3     | 340/781 [00:17<00:22, 19.57it/s]
 44%|####3     | 342/781 [00:17<00:22, 19.67it/s]
 44%|####4     | 344/781 [00:17<00:22, 19.70it/s]
 44%|####4     | 346/781 [00:18<00:22, 19.66it/s]
 45%|####4     | 348/781 [00:18<00:22, 19.47it/s]
 45%|####4     | 350/781 [00:18<00:22, 19.32it/s]
 45%|####5     | 352/781 [00:18<00:22, 19.31it/s]
 45%|####5     | 354/781 [00:18<00:22, 19.30it/s]
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 47%|####7     | 368/781 [00:19<00:21, 19.52it/s]
 47%|####7     | 370/781 [00:19<00:20, 19.61it/s]
 48%|####7     | 372/781 [00:19<00:21, 19.46it/s]
 48%|####7     | 374/781 [00:19<00:21, 19.34it/s]
 48%|####8     | 376/781 [00:19<00:21, 19.21it/s]
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 50%|####9     | 388/781 [00:20<00:20, 19.26it/s]
 50%|####9     | 390/781 [00:20<00:20, 19.40it/s]
 50%|#####     | 392/781 [00:20<00:20, 19.20it/s]
 50%|#####     | 394/781 [00:20<00:20, 19.15it/s]
 51%|#####     | 396/781 [00:20<00:20, 18.97it/s]
 51%|#####     | 398/781 [00:20<00:20, 18.95it/s]
 51%|#####1    | 400/781 [00:20<00:20, 19.01it/s]
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 53%|#####2    | 412/781 [00:21<00:20, 18.18it/s]
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 60%|######    | 470/781 [00:24<00:16, 18.83it/s]
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 61%|######1   | 478/781 [00:25<00:16, 18.85it/s]
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 70%|#######   | 548/781 [00:28<00:12, 18.61it/s]
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 71%|#######1  | 556/781 [00:29<00:11, 18.75it/s]
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 73%|#######2  | 570/781 [00:30<00:11, 18.22it/s]
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 76%|#######5  | 590/781 [00:31<00:10, 18.00it/s]
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 80%|########  | 626/781 [00:33<00:08, 17.89it/s]
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 83%|########3 | 650/781 [00:34<00:07, 18.28it/s]
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 84%|########4 | 658/781 [00:34<00:06, 18.12it/s]
 85%|########4 | 660/781 [00:35<00:06, 18.16it/s]
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 86%|########5 | 668/781 [00:35<00:06, 18.59it/s]
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 91%|######### | 710/781 [00:37<00:03, 18.74it/s]
 91%|#########1| 712/781 [00:37<00:03, 18.72it/s]
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100%|#########9| 778/781 [00:41<00:00, 18.84it/s]
100%|#########9| 780/781 [00:41<00:00, 18.86it/s]
100%|##########| 781/781 [00:41<00:00, 18.77it/s]




Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
Validation Progress:   0%|          | 0/44 [00:00<?, ?it/s]
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Validation Progress:   2%|2         | 1/44 [00:00<00:41,  1.03it/s]
Validation Progress:   2%|2         | 1/44 [00:00<00:41,  1.02it/s]
Validation Progress:   2%|2         | 1/44 [00:01<00:43,  1.00s/it]
Validation Progress:   2%|2         | 1/44 [00:01<00:43,  1.01s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:44,  1.05s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:44,  1.06s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:44,  1.06s/it]
Validation Progress:   5%|4         | 2/44 [00:02<00:44,  1.06s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:41,  1.02s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:41,  1.02s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:42,  1.03s/it]
Validation Progress:   7%|6         | 3/44 [00:03<00:42,  1.03s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:40,  1.01s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:40,  1.02s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:40,  1.01s/it]
Validation Progress:   9%|9         | 4/44 [00:04<00:40,  1.02s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:40,  1.05s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:40,  1.05s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:40,  1.05s/it]
Validation Progress:  11%|#1        | 5/44 [00:05<00:40,  1.05s/it]
Validation Progress:  14%|#3        | 6/44 [00:06<00:38,  1.00s/it]
Validation Progress:  14%|#3        | 6/44 [00:06<00:38,  1.00s/it]
Validation Progress:  14%|#3        | 6/44 [00:06<00:38,  1.00s/it]
Validation Progress:  14%|#3        | 6/44 [00:06<00:39,  1.03s/it]
Validation Progress:  16%|#5        | 7/44 [00:07<00:38,  1.04s/it]
Validation Progress:  16%|#5        | 7/44 [00:07<00:38,  1.04s/it]
Validation Progress:  16%|#5        | 7/44 [00:07<00:38,  1.04s/it]
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 10%|#         | 79/781 [00:03<00:33, 21.20it/s]
 10%|#         | 82/781 [00:03<00:32, 21.26it/s]
 11%|#         | 85/781 [00:04<00:32, 21.32it/s]
 11%|#1        | 88/781 [00:04<00:32, 21.37it/s]
 12%|#1        | 91/781 [00:04<00:32, 21.42it/s]
 12%|#2        | 94/781 [00:04<00:32, 21.30it/s]
 12%|#2        | 97/781 [00:04<00:32, 21.35it/s]
 13%|#2        | 100/781 [00:04<00:32, 21.17it/s]
 13%|#3        | 103/781 [00:04<00:31, 21.26it/s]
 14%|#3        | 106/781 [00:05<00:31, 21.22it/s]
 14%|#3        | 109/781 [00:05<00:31, 21.24it/s]
 14%|#4        | 112/781 [00:05<00:31, 21.26it/s]
 15%|#4        | 115/781 [00:05<00:31, 21.17it/s]
 15%|#5        | 118/781 [00:05<00:31, 21.11it/s]
 15%|#5        | 121/781 [00:05<00:31, 20.63it/s]
 16%|#5        | 124/781 [00:05<00:32, 20.48it/s]
 16%|#6        | 127/781 [00:06<00:32, 20.34it/s]
 17%|#6        | 130/781 [00:06<00:31, 20.47it/s]
 17%|#7        | 133/781 [00:06<00:31, 20.73it/s]
 17%|#7        | 136/781 [00:06<00:30, 20.87it/s]
 18%|#7        | 139/781 [00:06<00:30, 21.03it/s]
 18%|#8        | 142/781 [00:06<00:30, 21.13it/s]
 19%|#8        | 145/781 [00:06<00:29, 21.27it/s]
 19%|#8        | 148/781 [00:07<00:29, 21.30it/s]
 19%|#9        | 151/781 [00:07<00:29, 21.16it/s]
 20%|#9        | 154/781 [00:07<00:29, 21.14it/s]
 20%|##        | 157/781 [00:07<00:29, 21.22it/s]
 20%|##        | 160/781 [00:07<00:29, 21.13it/s]
 21%|##        | 163/781 [00:07<00:29, 21.29it/s]
 21%|##1       | 166/781 [00:07<00:29, 21.15it/s]
 22%|##1       | 169/781 [00:08<00:28, 21.12it/s]
 22%|##2       | 172/781 [00:08<00:28, 21.32it/s]
 22%|##2       | 175/781 [00:08<00:28, 21.38it/s]
 23%|##2       | 178/781 [00:08<00:28, 21.15it/s]
 23%|##3       | 181/781 [00:08<00:28, 21.18it/s]
 24%|##3       | 184/781 [00:08<00:28, 21.21it/s]
 24%|##3       | 187/781 [00:08<00:28, 20.98it/s]
 24%|##4       | 190/781 [00:09<00:28, 20.89it/s]
 25%|##4       | 193/781 [00:09<00:28, 20.98it/s]
 25%|##5       | 196/781 [00:09<00:27, 21.12it/s]
 25%|##5       | 199/781 [00:09<00:27, 21.09it/s]
 26%|##5       | 202/781 [00:09<00:27, 21.08it/s]
 26%|##6       | 205/781 [00:09<00:27, 20.90it/s]
 27%|##6       | 208/781 [00:09<00:27, 21.06it/s]
 27%|##7       | 211/781 [00:10<00:26, 21.14it/s]
 27%|##7       | 214/781 [00:10<00:27, 20.88it/s]
 28%|##7       | 217/781 [00:10<00:27, 20.86it/s]
 28%|##8       | 220/781 [00:10<00:26, 20.84it/s]
 29%|##8       | 223/781 [00:10<00:26, 20.77it/s]
 29%|##8       | 226/781 [00:10<00:26, 20.78it/s]
 29%|##9       | 229/781 [00:10<00:26, 20.97it/s]
 30%|##9       | 232/781 [00:11<00:26, 21.08it/s]
 30%|###       | 235/781 [00:11<00:25, 21.14it/s]
 30%|###       | 238/781 [00:11<00:26, 20.40it/s]
 31%|###       | 241/781 [00:11<00:26, 20.40it/s]
 31%|###1      | 244/781 [00:11<00:26, 20.42it/s]
 32%|###1      | 247/781 [00:11<00:26, 20.50it/s]
 32%|###2      | 250/781 [00:12<00:26, 20.41it/s]
 32%|###2      | 253/781 [00:12<00:25, 20.60it/s]
 33%|###2      | 256/781 [00:12<00:25, 20.69it/s]
 33%|###3      | 259/781 [00:12<00:24, 20.91it/s]
 34%|###3      | 262/781 [00:12<00:25, 20.76it/s]
 34%|###3      | 265/781 [00:12<00:24, 20.80it/s]
 34%|###4      | 268/781 [00:12<00:24, 20.60it/s]
 35%|###4      | 271/781 [00:13<00:25, 20.22it/s]
 35%|###5      | 274/781 [00:13<00:26, 19.26it/s]
 35%|###5      | 276/781 [00:13<00:26, 19.19it/s]
 36%|###5      | 278/781 [00:13<00:26, 18.76it/s]
 36%|###5      | 280/781 [00:13<00:26, 18.90it/s]
 36%|###6      | 282/781 [00:13<00:27, 18.46it/s]
 36%|###6      | 284/781 [00:13<00:27, 18.14it/s]
 37%|###6      | 286/781 [00:13<00:27, 17.85it/s]
 37%|###6      | 288/781 [00:13<00:27, 17.76it/s]
 37%|###7      | 290/781 [00:14<00:27, 17.73it/s]
 37%|###7      | 292/781 [00:14<00:27, 17.66it/s]
 38%|###7      | 294/781 [00:14<00:27, 17.71it/s]
 38%|###7      | 296/781 [00:14<00:27, 17.66it/s]
 38%|###8      | 298/781 [00:14<00:27, 17.70it/s]
 38%|###8      | 300/781 [00:14<00:27, 17.75it/s]
 39%|###8      | 302/781 [00:14<00:27, 17.31it/s]
 39%|###8      | 304/781 [00:14<00:27, 17.58it/s]
 39%|###9      | 306/781 [00:15<00:26, 17.69it/s]
 39%|###9      | 308/781 [00:15<00:26, 17.83it/s]
 40%|###9      | 310/781 [00:15<00:26, 17.94it/s]
 40%|###9      | 312/781 [00:15<00:26, 17.85it/s]
 40%|####      | 314/781 [00:15<00:26, 17.80it/s]
 40%|####      | 316/781 [00:15<00:26, 17.60it/s]
 41%|####      | 318/781 [00:15<00:26, 17.79it/s]
 41%|####      | 320/781 [00:15<00:25, 17.87it/s]
 41%|####1     | 322/781 [00:15<00:25, 17.98it/s]
 41%|####1     | 324/781 [00:16<00:25, 17.85it/s]
 42%|####1     | 326/781 [00:16<00:25, 17.87it/s]
 42%|####1     | 328/781 [00:16<00:25, 17.95it/s]
 42%|####2     | 330/781 [00:16<00:25, 17.72it/s]
 43%|####2     | 332/781 [00:16<00:25, 17.70it/s]
 43%|####2     | 334/781 [00:16<00:24, 17.88it/s]
 43%|####3     | 336/781 [00:16<00:24, 17.94it/s]
 43%|####3     | 338/781 [00:16<00:24, 17.83it/s]
 44%|####3     | 340/781 [00:16<00:24, 17.70it/s]
 44%|####3     | 342/781 [00:17<00:24, 17.74it/s]
 44%|####4     | 344/781 [00:17<00:24, 17.71it/s]
 44%|####4     | 346/781 [00:17<00:24, 17.71it/s]
 45%|####4     | 348/781 [00:17<00:24, 17.75it/s]
 45%|####4     | 350/781 [00:17<00:24, 17.71it/s]
 45%|####5     | 352/781 [00:17<00:24, 17.71it/s]
 45%|####5     | 354/781 [00:17<00:24, 17.69it/s]
 46%|####5     | 356/781 [00:17<00:24, 17.62it/s]
 46%|####5     | 358/781 [00:17<00:23, 17.66it/s]
 46%|####6     | 360/781 [00:18<00:24, 17.25it/s]
 46%|####6     | 362/781 [00:18<00:24, 17.38it/s]
 47%|####6     | 364/781 [00:18<00:23, 17.57it/s]
 47%|####6     | 366/781 [00:18<00:23, 17.61it/s]
 47%|####7     | 368/781 [00:18<00:23, 17.59it/s]
 47%|####7     | 370/781 [00:18<00:23, 17.60it/s]
 48%|####7     | 372/781 [00:18<00:23, 17.56it/s]
 48%|####7     | 374/781 [00:18<00:23, 17.43it/s]
 48%|####8     | 376/781 [00:18<00:22, 17.73it/s]
 48%|####8     | 378/781 [00:19<00:22, 17.75it/s]
 49%|####8     | 380/781 [00:19<00:22, 17.54it/s]
 49%|####8     | 382/781 [00:19<00:22, 17.58it/s]
 49%|####9     | 384/781 [00:19<00:22, 17.71it/s]
 49%|####9     | 386/781 [00:19<00:22, 17.81it/s]
 50%|####9     | 388/781 [00:19<00:22, 17.71it/s]
 50%|####9     | 390/781 [00:19<00:22, 17.58it/s]
 50%|#####     | 392/781 [00:19<00:22, 17.38it/s]
 50%|#####     | 394/781 [00:19<00:22, 17.44it/s]
 51%|#####     | 396/781 [00:20<00:22, 17.34it/s]
 51%|#####     | 398/781 [00:20<00:22, 17.40it/s]
 51%|#####1    | 400/781 [00:20<00:22, 17.09it/s]
 51%|#####1    | 402/781 [00:20<00:21, 17.31it/s]
 52%|#####1    | 404/781 [00:20<00:21, 17.36it/s]
 52%|#####1    | 406/781 [00:20<00:21, 17.32it/s]
 52%|#####2    | 408/781 [00:20<00:21, 17.41it/s]
 52%|#####2    | 410/781 [00:20<00:21, 17.48it/s]
 53%|#####2    | 412/781 [00:21<00:21, 17.52it/s]
 53%|#####3    | 414/781 [00:21<00:20, 17.56it/s]
 53%|#####3    | 416/781 [00:21<00:20, 17.57it/s]
 54%|#####3    | 418/781 [00:21<00:20, 17.59it/s]
 54%|#####3    | 420/781 [00:21<00:20, 17.59it/s]
 54%|#####4    | 422/781 [00:21<00:20, 17.62it/s]
 54%|#####4    | 424/781 [00:21<00:20, 17.66it/s]
 55%|#####4    | 426/781 [00:21<00:20, 16.97it/s]
 55%|#####4    | 428/781 [00:21<00:20, 16.93it/s]
 55%|#####5    | 430/781 [00:22<00:20, 17.00it/s]
 55%|#####5    | 432/781 [00:22<00:20, 17.04it/s]
 56%|#####5    | 434/781 [00:22<00:20, 17.21it/s]
 56%|#####5    | 436/781 [00:22<00:19, 17.25it/s]
 56%|#####6    | 438/781 [00:22<00:19, 17.37it/s]
 56%|#####6    | 440/781 [00:22<00:19, 17.33it/s]
 57%|#####6    | 442/781 [00:22<00:19, 17.41it/s]
 57%|#####6    | 444/781 [00:22<00:19, 17.39it/s]
 57%|#####7    | 446/781 [00:22<00:19, 17.47it/s]
 57%|#####7    | 448/781 [00:23<00:19, 17.50it/s]
 58%|#####7    | 450/781 [00:23<00:18, 17.45it/s]
 58%|#####7    | 452/781 [00:23<00:18, 17.52it/s]
 58%|#####8    | 454/781 [00:23<00:18, 17.50it/s]
 58%|#####8    | 456/781 [00:23<00:18, 17.26it/s]
 59%|#####8    | 458/781 [00:23<00:18, 17.28it/s]
 59%|#####8    | 460/781 [00:23<00:18, 17.32it/s]
 59%|#####9    | 462/781 [00:23<00:18, 17.34it/s]
 59%|#####9    | 464/781 [00:24<00:18, 17.43it/s]
 60%|#####9    | 466/781 [00:24<00:17, 17.61it/s]
 60%|#####9    | 468/781 [00:24<00:17, 17.55it/s]
 60%|######    | 470/781 [00:24<00:17, 17.59it/s]
 60%|######    | 472/781 [00:24<00:17, 17.57it/s]
 61%|######    | 474/781 [00:24<00:17, 17.61it/s]
 61%|######    | 476/781 [00:24<00:17, 17.63it/s]
 61%|######1   | 478/781 [00:24<00:17, 17.66it/s]
 61%|######1   | 480/781 [00:24<00:17, 17.65it/s]
 62%|######1   | 482/781 [00:25<00:16, 17.62it/s]
 62%|######1   | 484/781 [00:25<00:16, 17.65it/s]
 62%|######2   | 486/781 [00:25<00:32,  9.11it/s]
 62%|######2   | 488/781 [00:25<00:27, 10.64it/s]
 63%|######2   | 490/781 [00:25<00:24, 12.06it/s]
 63%|######2   | 492/781 [00:25<00:21, 13.30it/s]
 63%|######3   | 494/781 [00:26<00:20, 14.34it/s]
 64%|######3   | 496/781 [00:26<00:18, 15.20it/s]
 64%|######3   | 498/781 [00:26<00:17, 15.82it/s]
 64%|######4   | 500/781 [00:26<00:17, 16.19it/s]
 64%|######4   | 502/781 [00:26<00:16, 16.53it/s]
 65%|######4   | 504/781 [00:26<00:16, 16.75it/s]
 65%|######4   | 506/781 [00:26<00:16, 17.04it/s]
 65%|######5   | 508/781 [00:26<00:15, 17.26it/s]
 65%|######5   | 510/781 [00:26<00:15, 17.38it/s]
 66%|######5   | 512/781 [00:27<00:15, 17.49it/s]
 66%|######5   | 514/781 [00:27<00:15, 17.57it/s]
 66%|######6   | 516/781 [00:27<00:15, 17.43it/s]
 66%|######6   | 518/781 [00:27<00:15, 17.39it/s]
 67%|######6   | 520/781 [00:27<00:15, 17.34it/s]
 67%|######6   | 522/781 [00:27<00:14, 17.45it/s]
 67%|######7   | 524/781 [00:27<00:14, 17.35it/s]
 67%|######7   | 526/781 [00:27<00:14, 17.44it/s]
 68%|######7   | 528/781 [00:28<00:14, 17.37it/s]
 68%|######7   | 530/781 [00:28<00:14, 17.39it/s]
 68%|######8   | 532/781 [00:28<00:14, 17.55it/s]
 68%|######8   | 534/781 [00:28<00:14, 17.23it/s]
 69%|######8   | 536/781 [00:28<00:14, 17.36it/s]
 69%|######8   | 538/781 [00:28<00:13, 17.44it/s]
 69%|######9   | 540/781 [00:28<00:13, 17.60it/s]
 69%|######9   | 542/781 [00:28<00:13, 17.64it/s]
 70%|######9   | 544/781 [00:28<00:13, 17.70it/s]
 70%|######9   | 546/781 [00:29<00:13, 17.80it/s]
 70%|#######   | 548/781 [00:29<00:13, 17.78it/s]
 70%|#######   | 550/781 [00:29<00:12, 17.89it/s]
 71%|#######   | 552/781 [00:29<00:12, 17.92it/s]
 71%|#######   | 554/781 [00:29<00:12, 17.68it/s]
 71%|#######1  | 556/781 [00:29<00:12, 17.55it/s]
 71%|#######1  | 558/781 [00:29<00:12, 17.55it/s]
 72%|#######1  | 560/781 [00:29<00:12, 17.76it/s]
 72%|#######1  | 562/781 [00:29<00:12, 17.89it/s]
 72%|#######2  | 564/781 [00:30<00:12, 17.48it/s]
 72%|#######2  | 566/781 [00:30<00:12, 17.44it/s]
 73%|#######2  | 568/781 [00:30<00:12, 17.44it/s]
 73%|#######2  | 570/781 [00:30<00:12, 17.35it/s]
 73%|#######3  | 572/781 [00:30<00:11, 17.69it/s]
 73%|#######3  | 574/781 [00:30<00:11, 17.90it/s]
 74%|#######3  | 576/781 [00:30<00:11, 18.19it/s]
 74%|#######4  | 578/781 [00:30<00:11, 18.40it/s]
 74%|#######4  | 580/781 [00:30<00:11, 18.15it/s]
 75%|#######4  | 582/781 [00:31<00:10, 18.47it/s]
 75%|#######4  | 584/781 [00:31<00:10, 18.63it/s]
 75%|#######5  | 586/781 [00:31<00:10, 18.82it/s]
 75%|#######5  | 588/781 [00:31<00:10, 18.77it/s]
 76%|#######5  | 590/781 [00:31<00:10, 18.94it/s]
 76%|#######5  | 592/781 [00:31<00:09, 19.04it/s]
 76%|#######6  | 594/781 [00:31<00:09, 19.23it/s]
 76%|#######6  | 596/781 [00:31<00:09, 19.35it/s]
 77%|#######6  | 598/781 [00:31<00:09, 19.12it/s]
 77%|#######6  | 600/781 [00:31<00:09, 19.14it/s]
 77%|#######7  | 603/781 [00:32<00:08, 19.96it/s]
 78%|#######7  | 606/781 [00:32<00:08, 20.16it/s]
 78%|#######7  | 609/781 [00:32<00:08, 20.49it/s]
 78%|#######8  | 612/781 [00:32<00:08, 20.67it/s]
 79%|#######8  | 615/781 [00:32<00:07, 20.92it/s]
 79%|#######9  | 618/781 [00:32<00:07, 21.05it/s]
 80%|#######9  | 621/781 [00:32<00:07, 21.21it/s]
 80%|#######9  | 624/781 [00:33<00:07, 21.22it/s]
 80%|########  | 627/781 [00:33<00:07, 21.24it/s]
 81%|########  | 630/781 [00:33<00:07, 21.13it/s]
 81%|########1 | 633/781 [00:33<00:06, 21.16it/s]
 81%|########1 | 636/781 [00:33<00:06, 21.31it/s]
 82%|########1 | 639/781 [00:33<00:06, 21.18it/s]
 82%|########2 | 642/781 [00:33<00:06, 21.06it/s]
 83%|########2 | 645/781 [00:34<00:06, 20.81it/s]
 83%|########2 | 648/781 [00:34<00:06, 20.83it/s]
 83%|########3 | 651/781 [00:34<00:06, 20.80it/s]
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 84%|########4 | 657/781 [00:34<00:05, 20.82it/s]
 85%|########4 | 660/781 [00:34<00:05, 20.68it/s]
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 85%|########5 | 666/781 [00:35<00:05, 20.61it/s]
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 86%|########6 | 672/781 [00:35<00:05, 20.55it/s]
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 87%|########7 | 681/781 [00:35<00:05, 19.56it/s]
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 90%|########9 | 702/781 [00:37<00:04, 18.15it/s]
 90%|######### | 704/781 [00:37<00:04, 18.21it/s]
 90%|######### | 706/781 [00:37<00:04, 18.19it/s]
 91%|######### | 708/781 [00:37<00:04, 18.17it/s]
 91%|######### | 710/781 [00:37<00:04, 17.62it/s]
 91%|#########1| 712/781 [00:37<00:03, 17.45it/s]
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 92%|#########2| 720/781 [00:38<00:03, 17.93it/s]
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 93%|#########2| 724/781 [00:38<00:03, 18.11it/s]
 93%|#########2| 726/781 [00:38<00:03, 18.16it/s]
 93%|#########3| 728/781 [00:38<00:02, 18.15it/s]
 93%|#########3| 730/781 [00:38<00:02, 18.05it/s]
 94%|#########3| 732/781 [00:38<00:02, 17.94it/s]
 94%|#########3| 734/781 [00:38<00:02, 18.03it/s]
 94%|#########4| 736/781 [00:38<00:02, 18.00it/s]
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 96%|#########6| 750/781 [00:39<00:01, 19.72it/s]
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100%|#########9| 780/781 [00:41<00:00, 21.00it/s]
100%|##########| 781/781 [00:41<00:00, 18.98it/s]




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 78%|#######7  | 122/157 [00:07<00:02, 16.39it/s]
 79%|#######8  | 124/157 [00:07<00:01, 16.57it/s]
 80%|########  | 126/157 [00:07<00:01, 16.51it/s]
 82%|########1 | 128/157 [00:07<00:01, 16.45it/s]
 83%|########2 | 130/157 [00:08<00:01, 16.41it/s]
 84%|########4 | 132/157 [00:08<00:01, 16.04it/s]
 85%|########5 | 134/157 [00:08<00:01, 16.11it/s]
 87%|########6 | 136/157 [00:08<00:01, 16.21it/s]
 88%|########7 | 138/157 [00:08<00:01, 16.17it/s]
 89%|########9 | 140/157 [00:08<00:01, 16.25it/s]
 90%|######### | 142/157 [00:08<00:00, 16.31it/s]
 92%|#########1| 144/157 [00:08<00:00, 16.39it/s]
 93%|#########2| 146/157 [00:09<00:00, 16.35it/s]
 94%|#########4| 148/157 [00:09<00:00, 16.36it/s]
 96%|#########5| 150/157 [00:09<00:00, 16.37it/s]
 97%|#########6| 152/157 [00:09<00:00, 16.34it/s]
 98%|#########8| 154/157 [00:09<00:00, 16.00it/s]
 99%|#########9| 156/157 [00:09<00:00, 15.86it/s]
100%|##########| 157/157 [00:09<00:00, 16.23it/s]

  0%|          | 0/781 [00:00<?, ?it/s]
  0%|          | 2/781 [00:00<00:44, 17.32it/s]
  1%|          | 4/781 [00:00<00:42, 18.13it/s]
  1%|          | 6/781 [00:00<00:41, 18.60it/s]
  1%|1         | 8/781 [00:00<00:41, 18.66it/s]
  1%|1         | 10/781 [00:00<00:41, 18.66it/s]
  2%|1         | 12/781 [00:00<00:41, 18.57it/s]
  2%|1         | 14/781 [00:00<00:41, 18.55it/s]
  2%|2         | 16/781 [00:00<00:41, 18.65it/s]
  2%|2         | 18/781 [00:00<00:40, 18.77it/s]
  3%|2         | 20/781 [00:01<00:40, 18.88it/s]
  3%|2         | 22/781 [00:01<00:40, 18.91it/s]
  3%|3         | 24/781 [00:01<00:39, 19.04it/s]
  3%|3         | 26/781 [00:01<00:39, 18.95it/s]
  4%|3         | 28/781 [00:01<00:39, 18.98it/s]
  4%|3         | 30/781 [00:01<00:39, 19.05it/s]
  4%|4         | 32/781 [00:01<00:39, 18.93it/s]
  4%|4         | 34/781 [00:01<00:39, 18.90it/s]
  5%|4         | 36/781 [00:01<00:39, 18.99it/s]
  5%|4         | 38/781 [00:02<00:39, 19.02it/s]
  5%|5         | 40/781 [00:02<00:39, 18.91it/s]
  5%|5         | 42/781 [00:02<00:39, 18.92it/s]
  6%|5         | 44/781 [00:02<00:38, 18.96it/s]
  6%|5         | 46/781 [00:02<00:38, 19.01it/s]
  6%|6         | 48/781 [00:02<00:38, 18.96it/s]
  6%|6         | 50/781 [00:02<00:38, 19.06it/s]
  7%|6         | 52/781 [00:02<00:37, 19.20it/s]
  7%|6         | 54/781 [00:02<00:37, 19.20it/s]
  7%|7         | 56/781 [00:02<00:37, 19.29it/s]
  7%|7         | 58/781 [00:03<00:37, 19.37it/s]
  8%|7         | 60/781 [00:03<00:37, 19.17it/s]
  8%|7         | 62/781 [00:03<00:37, 19.31it/s]
  8%|8         | 64/781 [00:03<00:37, 19.32it/s]
  8%|8         | 66/781 [00:03<00:37, 19.29it/s]
  9%|8         | 68/781 [00:03<00:36, 19.33it/s]
  9%|8         | 70/781 [00:03<00:36, 19.27it/s]
  9%|9         | 72/781 [00:03<00:36, 19.34it/s]
  9%|9         | 74/781 [00:03<00:36, 19.20it/s]
 10%|9         | 76/781 [00:03<00:36, 19.19it/s]
 10%|9         | 78/781 [00:04<00:36, 19.04it/s]
 10%|#         | 80/781 [00:04<00:36, 19.05it/s]
 10%|#         | 82/781 [00:04<00:36, 19.19it/s]
 11%|#         | 84/781 [00:04<00:36, 19.31it/s]
 11%|#1        | 86/781 [00:04<00:36, 19.24it/s]
 11%|#1        | 88/781 [00:04<00:36, 19.12it/s]
 12%|#1        | 90/781 [00:04<00:36, 19.00it/s]
 12%|#1        | 92/781 [00:04<00:36, 19.03it/s]
 12%|#2        | 94/781 [00:04<00:36, 18.74it/s]
 12%|#2        | 96/781 [00:05<00:36, 18.68it/s]
 13%|#2        | 98/781 [00:05<00:36, 18.66it/s]
 13%|#2        | 100/781 [00:05<00:37, 18.37it/s]
 13%|#3        | 102/781 [00:05<00:37, 18.29it/s]
 13%|#3        | 104/781 [00:05<00:37, 18.21it/s]
 14%|#3        | 106/781 [00:05<00:36, 18.29it/s]
 14%|#3        | 108/781 [00:05<00:36, 18.40it/s]
 14%|#4        | 110/781 [00:05<00:37, 18.04it/s]
 14%|#4        | 112/781 [00:05<00:36, 18.18it/s]
 15%|#4        | 114/781 [00:06<00:36, 18.11it/s]
 15%|#4        | 116/781 [00:06<00:38, 17.41it/s]
 15%|#5        | 118/781 [00:06<00:37, 17.91it/s]
 15%|#5        | 120/781 [00:06<00:36, 17.99it/s]
 16%|#5        | 122/781 [00:06<00:36, 18.08it/s]
 16%|#5        | 124/781 [00:06<00:36, 18.13it/s]
 16%|#6        | 126/781 [00:06<00:35, 18.27it/s]
 16%|#6        | 128/781 [00:06<00:35, 18.43it/s]
 17%|#6        | 130/781 [00:06<00:34, 18.63it/s]
 17%|#6        | 132/781 [00:07<00:34, 18.78it/s]
 17%|#7        | 134/781 [00:07<00:34, 18.98it/s]
 17%|#7        | 136/781 [00:07<00:33, 19.05it/s]
 18%|#7        | 138/781 [00:07<00:33, 19.18it/s]
 18%|#7        | 140/781 [00:07<00:33, 19.19it/s]
 18%|#8        | 142/781 [00:07<00:33, 19.23it/s]
 18%|#8        | 144/781 [00:07<00:33, 19.23it/s]
 19%|#8        | 146/781 [00:07<00:32, 19.27it/s]
 19%|#8        | 148/781 [00:07<00:32, 19.28it/s]
 19%|#9        | 150/781 [00:07<00:32, 19.42it/s]
 19%|#9        | 152/781 [00:08<00:32, 19.34it/s]
 20%|#9        | 154/781 [00:08<00:32, 19.41it/s]
 20%|#9        | 156/781 [00:08<00:32, 19.40it/s]
 20%|##        | 158/781 [00:08<00:32, 19.43it/s]
 20%|##        | 160/781 [00:08<00:32, 19.33it/s]
 21%|##        | 162/781 [00:08<00:31, 19.45it/s]
 21%|##        | 164/781 [00:08<00:31, 19.49it/s]
 21%|##1       | 166/781 [00:08<00:31, 19.46it/s]
 22%|##1       | 168/781 [00:08<00:31, 19.40it/s]
 22%|##1       | 170/781 [00:08<00:31, 19.52it/s]
 22%|##2       | 172/781 [00:09<00:31, 19.57it/s]
 22%|##2       | 174/781 [00:09<00:30, 19.67it/s]
 23%|##2       | 176/781 [00:09<00:31, 19.51it/s]
 23%|##2       | 178/781 [00:09<00:30, 19.49it/s]
 23%|##3       | 180/781 [00:09<00:31, 19.36it/s]
 23%|##3       | 182/781 [00:09<00:31, 19.29it/s]
 24%|##3       | 184/781 [00:09<00:31, 19.23it/s]
 24%|##3       | 186/781 [00:09<00:30, 19.38it/s]
 24%|##4       | 188/781 [00:09<00:30, 19.22it/s]
 24%|##4       | 190/781 [00:10<00:31, 19.02it/s]
 25%|##4       | 192/781 [00:10<00:30, 19.07it/s]
 25%|##4       | 194/781 [00:10<00:30, 19.09it/s]
 25%|##5       | 196/781 [00:10<00:30, 18.96it/s]
 25%|##5       | 198/781 [00:10<00:30, 19.17it/s]
 26%|##5       | 200/781 [00:10<00:30, 19.15it/s]
 26%|##5       | 202/781 [00:10<00:30, 19.29it/s]
 26%|##6       | 204/781 [00:10<00:29, 19.42it/s]
 26%|##6       | 206/781 [00:10<00:29, 19.38it/s]
 27%|##6       | 208/781 [00:10<00:29, 19.34it/s]
 27%|##6       | 210/781 [00:11<00:29, 19.41it/s]
 27%|##7       | 212/781 [00:11<00:29, 19.51it/s]
 27%|##7       | 214/781 [00:11<00:29, 19.34it/s]
 28%|##7       | 216/781 [00:11<00:29, 19.37it/s]
 28%|##7       | 218/781 [00:11<00:28, 19.46it/s]
 28%|##8       | 220/781 [00:11<00:28, 19.46it/s]
 28%|##8       | 222/781 [00:11<00:28, 19.38it/s]
 29%|##8       | 224/781 [00:11<00:29, 19.19it/s]
 29%|##8       | 226/781 [00:11<00:28, 19.34it/s]
 29%|##9       | 228/781 [00:11<00:28, 19.36it/s]
 29%|##9       | 230/781 [00:12<00:28, 19.44it/s]
 30%|##9       | 232/781 [00:12<00:28, 19.42it/s]
 30%|##9       | 234/781 [00:12<00:28, 19.38it/s]
 30%|###       | 236/781 [00:12<00:28, 19.03it/s]
 30%|###       | 238/781 [00:12<00:28, 18.97it/s]
 31%|###       | 240/781 [00:12<00:28, 18.99it/s]
 31%|###       | 242/781 [00:12<00:28, 19.10it/s]
 31%|###1      | 244/781 [00:12<00:28, 19.10it/s]
 31%|###1      | 246/781 [00:12<00:28, 19.00it/s]
 32%|###1      | 248/781 [00:13<00:27, 19.11it/s]
 32%|###2      | 250/781 [00:13<00:27, 19.13it/s]
 32%|###2      | 252/781 [00:13<00:27, 18.94it/s]
 33%|###2      | 254/781 [00:13<00:27, 19.04it/s]
 33%|###2      | 256/781 [00:13<00:27, 19.15it/s]
 33%|###3      | 258/781 [00:13<00:27, 19.22it/s]
 33%|###3      | 260/781 [00:13<00:27, 19.30it/s]
 34%|###3      | 262/781 [00:13<00:26, 19.38it/s]
 34%|###3      | 264/781 [00:13<00:26, 19.46it/s]
 34%|###4      | 266/781 [00:13<00:26, 19.54it/s]
 34%|###4      | 268/781 [00:14<00:26, 19.47it/s]
 35%|###4      | 270/781 [00:14<00:26, 19.43it/s]
 35%|###4      | 272/781 [00:14<00:26, 19.51it/s]
 35%|###5      | 274/781 [00:14<00:26, 19.29it/s]
 35%|###5      | 276/781 [00:14<00:26, 18.71it/s]
 36%|###5      | 278/781 [00:14<00:27, 18.61it/s]
 36%|###5      | 280/781 [00:14<00:26, 18.79it/s]
 36%|###6      | 282/781 [00:14<00:26, 18.71it/s]
 36%|###6      | 284/781 [00:14<00:26, 18.69it/s]
 37%|###6      | 286/781 [00:15<00:26, 18.44it/s]
 37%|###6      | 288/781 [00:15<00:26, 18.47it/s]
 37%|###7      | 290/781 [00:15<00:26, 18.66it/s]
 37%|###7      | 292/781 [00:15<00:25, 18.81it/s]
 38%|###7      | 294/781 [00:15<00:26, 18.55it/s]
 38%|###7      | 296/781 [00:15<00:26, 18.39it/s]
 38%|###8      | 298/781 [00:15<00:26, 18.04it/s]
 38%|###8      | 300/781 [00:15<00:26, 18.15it/s]
 39%|###8      | 302/781 [00:15<00:26, 18.41it/s]
 39%|###8      | 304/781 [00:16<00:25, 18.59it/s]
 39%|###9      | 306/781 [00:16<00:26, 18.25it/s]
 39%|###9      | 308/781 [00:16<00:26, 18.11it/s]
 40%|###9      | 310/781 [00:16<00:26, 18.01it/s]
 40%|###9      | 312/781 [00:16<00:26, 17.96it/s]
 40%|####      | 314/781 [00:16<00:26, 17.86it/s]
 40%|####      | 316/781 [00:16<00:25, 17.89it/s]
 41%|####      | 318/781 [00:16<00:26, 17.75it/s]
 41%|####      | 320/781 [00:16<00:25, 17.74it/s]
 41%|####1     | 322/781 [00:17<00:25, 17.92it/s]
 41%|####1     | 324/781 [00:17<00:25, 17.96it/s]
 42%|####1     | 326/781 [00:17<00:25, 18.17it/s]
 42%|####1     | 328/781 [00:17<00:24, 18.35it/s]
 42%|####2     | 330/781 [00:17<00:24, 18.51it/s]
 43%|####2     | 332/781 [00:17<00:24, 18.57it/s]
 43%|####2     | 334/781 [00:17<00:24, 18.48it/s]
 43%|####3     | 336/781 [00:17<00:24, 18.44it/s]
 43%|####3     | 338/781 [00:17<00:23, 18.56it/s]
 44%|####3     | 340/781 [00:17<00:23, 18.58it/s]
 44%|####3     | 342/781 [00:18<00:23, 18.64it/s]
 44%|####4     | 344/781 [00:18<00:23, 18.70it/s]
 44%|####4     | 346/781 [00:18<00:23, 18.46it/s]
 45%|####4     | 348/781 [00:18<00:23, 18.44it/s]
 45%|####4     | 350/781 [00:18<00:23, 18.38it/s]
 45%|####5     | 352/781 [00:18<00:23, 18.43it/s]
 45%|####5     | 354/781 [00:18<00:23, 18.46it/s]
 46%|####5     | 356/781 [00:18<00:23, 18.39it/s]
 46%|####5     | 358/781 [00:18<00:22, 18.42it/s]
 46%|####6     | 360/781 [00:19<00:22, 18.39it/s]
 46%|####6     | 362/781 [00:19<00:22, 18.44it/s]
 47%|####6     | 364/781 [00:19<00:22, 18.49it/s]
 47%|####6     | 366/781 [00:19<00:22, 18.47it/s]
 47%|####7     | 368/781 [00:19<00:22, 18.25it/s]
 47%|####7     | 370/781 [00:19<00:22, 18.29it/s]
 48%|####7     | 372/781 [00:19<00:22, 18.39it/s]
 48%|####7     | 374/781 [00:19<00:22, 18.47it/s]
 48%|####8     | 376/781 [00:19<00:22, 18.39it/s]
 48%|####8     | 378/781 [00:20<00:21, 18.54it/s]
 49%|####8     | 380/781 [00:20<00:21, 18.62it/s]
 49%|####8     | 382/781 [00:20<00:21, 18.69it/s]
 49%|####9     | 384/781 [00:20<00:21, 18.79it/s]
 49%|####9     | 386/781 [00:20<00:21, 18.78it/s]
 50%|####9     | 388/781 [00:20<00:21, 18.65it/s]
 50%|####9     | 390/781 [00:20<00:21, 18.30it/s]
 50%|#####     | 392/781 [00:20<00:21, 18.32it/s]
 50%|#####     | 394/781 [00:20<00:21, 18.34it/s]
 51%|#####     | 396/781 [00:21<00:20, 18.43it/s]
 51%|#####     | 398/781 [00:21<00:20, 18.42it/s]
 51%|#####1    | 400/781 [00:21<00:20, 18.56it/s]
 51%|#####1    | 402/781 [00:21<00:20, 18.68it/s]
 52%|#####1    | 404/781 [00:21<00:20, 18.74it/s]
 52%|#####1    | 406/781 [00:21<00:20, 18.24it/s]
 52%|#####2    | 408/781 [00:21<00:20, 18.32it/s]
 52%|#####2    | 410/781 [00:21<00:20, 18.51it/s]
 53%|#####2    | 412/781 [00:21<00:19, 18.48it/s]
 53%|#####3    | 414/781 [00:21<00:19, 18.56it/s]
 53%|#####3    | 416/781 [00:22<00:19, 18.32it/s]
 54%|#####3    | 418/781 [00:22<00:19, 18.37it/s]
 54%|#####3    | 420/781 [00:22<00:19, 18.49it/s]
 54%|#####4    | 422/781 [00:22<00:19, 18.55it/s]
 54%|#####4    | 424/781 [00:22<00:19, 18.64it/s]
 55%|#####4    | 426/781 [00:22<00:19, 18.67it/s]
 55%|#####4    | 428/781 [00:22<00:18, 18.66it/s]
 55%|#####5    | 430/781 [00:22<00:18, 18.75it/s]
 55%|#####5    | 432/781 [00:22<00:18, 18.77it/s]
 56%|#####5    | 434/781 [00:23<00:18, 18.56it/s]
 56%|#####5    | 436/781 [00:23<00:18, 18.50it/s]
 56%|#####6    | 438/781 [00:23<00:18, 18.40it/s]
 56%|#####6    | 440/781 [00:23<00:18, 18.39it/s]
 57%|#####6    | 442/781 [00:23<00:18, 18.51it/s]
 57%|#####6    | 444/781 [00:23<00:18, 18.55it/s]
 57%|#####7    | 446/781 [00:23<00:18, 18.56it/s]
 57%|#####7    | 448/781 [00:23<00:17, 18.63it/s]
 58%|#####7    | 450/781 [00:23<00:17, 18.66it/s]
 58%|#####7    | 452/781 [00:24<00:17, 18.64it/s]
 58%|#####8    | 454/781 [00:24<00:17, 18.67it/s]
 58%|#####8    | 456/781 [00:24<00:17, 18.58it/s]
 59%|#####8    | 458/781 [00:24<00:17, 18.67it/s]
 59%|#####8    | 460/781 [00:24<00:17, 18.58it/s]
 59%|#####9    | 462/781 [00:24<00:17, 18.60it/s]
 59%|#####9    | 464/781 [00:24<00:17, 18.57it/s]
 60%|#####9    | 466/781 [00:24<00:17, 18.26it/s]
 60%|#####9    | 468/781 [00:24<00:17, 18.05it/s]
 60%|######    | 470/781 [00:25<00:17, 18.21it/s]
 60%|######    | 472/781 [00:25<00:17, 18.15it/s]
 61%|######    | 474/781 [00:25<00:16, 18.28it/s]
 61%|######    | 476/781 [00:25<00:16, 18.36it/s]
 61%|######1   | 478/781 [00:25<00:16, 18.44it/s]
 61%|######1   | 480/781 [00:25<00:16, 18.50it/s]
 62%|######1   | 482/781 [00:25<00:16, 18.40it/s]
 62%|######1   | 484/781 [00:25<00:16, 18.43it/s]
 62%|######2   | 486/781 [00:25<00:15, 18.48it/s]
 62%|######2   | 488/781 [00:25<00:15, 18.53it/s]
 63%|######2   | 490/781 [00:26<00:15, 18.59it/s]
 63%|######2   | 492/781 [00:26<00:15, 18.51it/s]
 63%|######3   | 494/781 [00:26<00:15, 18.35it/s]
 64%|######3   | 496/781 [00:26<00:15, 18.28it/s]
 64%|######3   | 498/781 [00:26<00:15, 18.25it/s]
 64%|######4   | 500/781 [00:26<00:15, 18.30it/s]
 64%|######4   | 502/781 [00:26<00:15, 18.40it/s]
 65%|######4   | 504/781 [00:26<00:14, 18.51it/s]
 65%|######4   | 506/781 [00:26<00:14, 18.52it/s]
 65%|######5   | 508/781 [00:27<00:14, 18.48it/s]
 65%|######5   | 510/781 [00:27<00:14, 18.53it/s]
 66%|######5   | 512/781 [00:27<00:14, 18.01it/s]
 66%|######5   | 514/781 [00:27<00:14, 18.26it/s]
 66%|######6   | 516/781 [00:27<00:14, 18.42it/s]
 66%|######6   | 518/781 [00:27<00:14, 18.43it/s]
 67%|######6   | 520/781 [00:27<00:14, 18.51it/s]
 67%|######6   | 522/781 [00:27<00:14, 18.31it/s]
 67%|######7   | 524/781 [00:27<00:14, 18.35it/s]
 67%|######7   | 526/781 [00:28<00:13, 18.42it/s]
 68%|######7   | 528/781 [00:28<00:13, 18.37it/s]
 68%|######7   | 530/781 [00:28<00:13, 18.12it/s]
 68%|######8   | 532/781 [00:28<00:13, 18.06it/s]
 68%|######8   | 534/781 [00:28<00:13, 18.27it/s]
 69%|######8   | 536/781 [00:28<00:13, 17.94it/s]
 69%|######8   | 538/781 [00:28<00:13, 18.18it/s]
 69%|######9   | 540/781 [00:28<00:13, 18.28it/s]
 69%|######9   | 542/781 [00:28<00:13, 18.20it/s]
 70%|######9   | 544/781 [00:29<00:13, 18.16it/s]
 70%|######9   | 546/781 [00:29<00:12, 18.25it/s]
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